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bg_population_review_cycle2_16b73a96_seed420987

Local run directory: /home/synthestat/output/runs/BG/bg_population_review_cycle2_16b73a96_seed420987

This static page mirrors the run diagnostics/messages so they are clickable from the QA dashboard.

Output status

PeopleHouseholdsDwellingsHouses/buildingsMax marginal deviationHARD statusValidation rows
88830.00%pass_exact74

Run files

FileBytesKind
assignment_diagnostics.json815file
build_manifest.json5,352file
constraint_residuals.json5,016file
distribution_diagnostics.json18,757file
dwelling_building_diagnostics.json1,838file
geography_quality_tiers.json14,802file
hidden_population_overlays.unavailable.json1,836file
household_diagnostics.json844file
model_notes.md3,063file
source_provenance.json37,458file
synthetic_building_assignments.parquet3,813file
synthetic_dwellings.parquet3,219file
synthetic_households.parquet2,941file
synthetic_persons.parquet5,582file
unavailable.json1,905file
uncertainty_summary.json17,396file
work_school_assignments.unavailable.json925file

Datasets and distributions

Lists come from the latest run bundle: source_provenance.json, distribution_diagnostics.json, and build_manifest.json.

Summary

Datasets used8
Distributions available38
Constraints/distributions used in synthesis43
Constraint typesFIRM: 7, GUIDE: 18, HARD: 2, SOFT: 11
Dataset variantscomparable_country: 11, current: 1, robust: 26
Finest-geography statusconstrained: 27, modelled: 11

Source gaps

  • No live NSI retrieval adapter is implemented yet for BG Task 01.
  • Building integration is still fixture-backed and requires dwelling inference.
  • Current Bulgaria execution is an uncertainty-aware seeded slice, not a production national extraction path.

Datasets used

Dataset/source ID
BG_ADMIN_address_context
BG_AGCC_seeded_buildings
BG_NSI_boundaries
BG_NSI_education
BG_NSI_employment
BG_NSI_households
BG_NSI_income
BG_NSI_population

Best source by distribution family

Distribution familyDataset/source ID
D01_demographics_finestBG_NSI_population
D05_educationBG_NSI_education
D12_household_typeBG_NSI_households
building_stockBG_AGCC_seeded_buildings
employment_occupation_industryBG_NSI_employment
geography_boundariesBG_NSI_boundaries
incomeBG_NSI_income

Available distributions / priors in registry

SpecLabelTypeGeoStatusVariantConfidenceData URI
C01_education_occupation_couplingEducation-occupation coupling strengthGUIDEnationalmodelledcomparable_country0.6data/literature/seeded_occupation_priors.yaml
C02_assortative_mating_educationAssortative mating by educationGUIDENUTS-1modelledcomparable_country0.61data/literature/seeded_occupation_priors.yaml
C03_assortative_mating_ageAssortative mating by ageGUIDENUTS-1modelledcomparable_country0.68data/literature/seeded_occupation_priors.yaml
C04_assortative_mating_originAssortative mating by originGUIDENUTS-1modelledcomparable_country0.62data/literature/seeded_occupation_priors.yaml
C05_spatial_sorting_educationSpatial sorting by educationGUIDEnationalmodelledcomparable_country0.7data/literature/seeded_occupation_priors.yaml
C06_spatial_sorting_incomeSpatial sorting by incomeGUIDEnationalmodelledcomparable_country0.7data/literature/seeded_occupation_priors.yaml
C07_spatial_sorting_originSpatial sorting by originGUIDEnationalmodelledcomparable_country0.72data/literature/seeded_occupation_priors.yaml
C08_intergenerational_income_elasticityIntergenerational income elasticityGUIDEnationalmodelledcomparable_country0.58data/literature/seeded_occupation_priors.yaml
C09_intergenerational_occupation_transmissionIntergenerational occupation transmissionGUIDEnationalmodelledcomparable_country0.58data/literature/seeded_occupation_priors.yaml
C10_commuting_mode_distanceCommuting mode × distance × occupation × regionGUIDENUTS-1modelledcomparable_country0.64data/literature/seeded_occupation_priors.yaml
C11_health_age_sex_educationHealth × age × sex × educationGUIDEnationalmodelledcomparable_country0.62data/literature/seeded_occupation_priors.yaml
D01_age_sex_nuts3Age × sex at NUTS-3HARDNUTS-3constrainedrobust0.74docs/wiki/compiled/D01_age_sex_nuts3.md
D01_census_age_sex_nuts3Census age × sex at NUTS-3HARDNUTS-3constrainedrobust0.74docs/wiki/compiled/D01_census_age_sex_nuts3.md
D02_marital_nuts3Marital status × age × sex at NUTS-3FIRMNUTS-3constrainedrobust0.73docs/wiki/compiled/D02_marital_nuts3.md
D03_origin_age_sexOrigin group × age × sexFIRMNUTS-3constrainedrobust0.73docs/wiki/compiled/D03_origin_age_sex.md
D04_religion_age_sex_regionReligion × age × sex × regionGUIDENUTS-3constrainedrobust0.71docs/wiki/compiled/D04_religion_age_sex_region.md
D05_census_education_nuts3Census education at NUTS-3FIRMNUTS-3constrainedrobust0.73docs/wiki/compiled/D05_census_education_nuts3.md
D05_education_nuts2Education at NUTS-2FIRMNUTS-2constrainedcurrent0.7docs/wiki/compiled/D05_education_nuts2.md
D06_employment_age_sex_educationEmployment status × age × sex × educationFIRMunknownconstrainedrobust0.73docs/wiki/compiled/D06_employment_age_sex_education.md
D07_occupation_isco3Occupation ISCO-3 distributionSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D07_occupation_isco3.md
D08_occupation_educationOccupation × educationSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D08_occupation_education.md
D09_industry_nace2Industry NACE-2 distributionSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D09_industry_nace2.md
D10_income_education_occupationIncome × education × occupationSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D10_income_education_occupation.md
D11_income_household_type_regionIncome × household type × regionSOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D11_income_household_type_region.md
D12_household_type_size_regionHousehold type × size × regionFIRMNUTS-3constrainedrobust0.73docs/wiki/compiled/D12_household_type_size_region.md
D13_children_mother_age_educationChildren × mother age × educationSOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D13_children_mother_age_education.md
D14_partner_age_gap_homogamyPartner age gap × homogamySOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D14_partner_age_gap_homogamy.md
D15_coresidence_structureCo-residence structureSOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D15_coresidence_structure.md
D16_household_income_type_regionHousehold income × type × regionSOFTNUTS-3constrainedrobust0.71docs/wiki/compiled/D16_household_income_type_region.md
D17_education_mobilityEducation mobilityGUIDEunknownconstrainedrobust0.71docs/wiki/compiled/D17_education_mobility.md
D18_occupation_given_educationOccupation | educationSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D18_occupation_given_education.md
D19_employment_given_demographicsEmployment | demographicsSOFTunknownconstrainedrobust0.71docs/wiki/compiled/D19_employment_given_demographics.md
D20_birth_intervalsBirth intervalsGUIDEunknownconstrainedrobust0.71docs/wiki/compiled/D20_birth_intervals.md
D21_age_first_birthAge at first birth × education × cohortGUIDEunknownconstrainedrobust0.71docs/wiki/compiled/D21_age_first_birth.md
D22_age_leaving_homeAge leaving homeGUIDEunknownconstrainedrobust0.71docs/wiki/compiled/D22_age_leaving_home.md
D23_divorce_duration_children_educationDivorce × duration × children × educationGUIDENUTS-3constrainedrobust0.71docs/wiki/compiled/D23_divorce_duration_children_education.md
D24_age_marriage_sex_educationAge at marriage × sex × educationGUIDENUTS-3constrainedrobust0.71docs/wiki/compiled/D24_age_marriage_sex_education.md
D25_internal_migrationInternal migrationFIRMunknownconstrainedrobust0.73docs/wiki/compiled/D25_internal_migration.md

Constraints/distributions used in synthesis manifest

Constraint or distribution ID
CORR_OCC_EMPLOYMENT
D01
D12
EMPLOYMENT_CODE_LINK
FIRM
GUIDE
HARD
HARMONIZATION
HH_CHILD_ADULT
HH_COUPLE_TWO_ADULTS
HH_SINGLE_SIZE_ONE
HH_SIZE_PLAUSIBLE
HMN_AGE_RANGE
HMN_BIRTH_DATE
HMN_BUILDING_SCHEMA
HMN_DWELLING_BUILDING_REF
HMN_DWELLING_SCHEMA
HMN_EDUCATION
HMN_EDUCATION_AGE
HMN_EDUCATION_GROUP
HMN_EMPLOYMENT
HMN_HOUSEHOLD_DWELLING_REF
HMN_HOUSEHOLD_SCHEMA
HMN_HOUSEHOLD_TYPE
HMN_INDUSTRY
HMN_MARITAL
HMN_OCCUPATION
HMN_ORIGIN
HMN_PERSON_HOUSEHOLD_REF
HMN_PERSON_SCHEMA
HMN_RETIRED_AGE
HMN_SEX
INFORMATIONAL
MODEL_FALLBACK_RATE
MODEL_REGISTRY_PROFILE
SPATIAL
SPT_BUILDING_COORDS
SPT_DWELLING_BUILDING_REF
SPT_DWELLING_HOUSEHOLD_REF
SPT_HH_DWELLING_REF
SPT_PERSON_HOUSEHOLD_REF
STRUCTURAL
XCN_COMPARABILITY

model_notes.md

# BG population review bundle — cycle 2

Run ID: `bg_population_review_cycle2_16b73a96_seed420987`
Bundle path: `/home/synthestat/output/runs/BG/bg_population_review_cycle2_16b73a96_seed420987`
Created at: 2026-05-19T17:01:19Z
Release mode: internal research review.

## What this bundle is

This is the cycle-2 Bulgaria review bundle after the marginal/distribution source-gap handoffs. No newly frozen/catalogued downloader tables were available to consume, so the model remains the seeded BG fixture slice without fabricating national precision. It packages the seeded BG population slice: 8 synthetic persons in 8 households, linked to 8 inferred/seeded dwellings and 3 AGCC-style seeded buildings across 2 naseleno-myasto-style test zones (`SET_BG_TEST_001`, `SET_BG_TEST_002`).

## HARD residual status

HARD constraints: PASS exact; no HARD residual rows failed.

Validation summary: {'pass': 68, 'warn': 4, 'skip': 2} across 74 rows. Warning rows are preserved in `constraint_residuals.json`; no constraint relaxation was performed for this review bundle.

## Measured, constrained, modelled, unknown

- Measured/constrained: seeded BG D01 demographic and D12 household constraints in the current registry/validation layer.
- Seeded/modelled: household microstructure, occupation/industry detail, correlational Cxx distributions, building/dwelling placement beyond fixture links.
- Unknown/unavailable: hidden-population overlays, institutional/group-quarter populations, work/school/facility assignments, nationwide live NSI extraction status.

## Uncertainty and modelled layers

Uncertainty/provenance are first-class outputs. Registry/modelled/transfer inputs are listed in `distribution_diagnostics.json`, `uncertainty_summary.json`, and `source_provenance.json`. Hidden populations are explicitly unavailable because the current BG path lacks separate uncertainty-aware small-area sources. Work/school/facility assignments are also unavailable; the bundle does not infer them from weak evidence.

## Quality caveats for reviewer

- Scope is seeded/internal, not nationwide Bulgaria 1:1 synthesis.
- Current finest supported geography is seeded naseleno-myasto-style test zones, not all Bulgarian settlements.
- Building/dwelling realism is an AGCC-style seeded fixture plus dwelling inference, not live national building-register assignment.
- Occupation/industry at fine geography are modelled; ISCO-3 is unavailable and flagged as `fallback_1digit`.
- Live BG NSI retrieval is not implemented in the promoted path; current bundle relies on existing seeded/manual catalogue artifacts.

## Expected routing

The bundle is contract-complete for synth-reviewer inspection but should not receive a PASS-style population-realism verdict. Because the current code/catalogue layer still lacks frozen national BG extraction inputs, the appropriate reviewer routing is degraded seeded-scope review, with MODEL_IMPROVEMENT_EXHAUSTED_HUMAN_REVIEW only if the reviewer agrees no material model-only improvement is responsible without the requested evidence.

build_manifest.json

{
  "assignment_scope": {
    "dwelling_building": "available_seeded",
    "facility": "unavailable",
    "school": "unavailable",
    "work": "unavailable"
  },
  "classification_crosswalk_versions": {
    "education": "ISCED-2011 seeded mapping",
    "industry": "NACE Rev.2 seeded/modelled mapping",
    "occupation": "ISCO-08 seeded/modelled fallback to 1 digit"
  },
  "constraints_relaxed": [],
  "constraints_used": [
    "CORR_OCC_EMPLOYMENT",
    "D01",
    "D12",
    "EMPLOYMENT_CODE_LINK",
    "FIRM",
    "GUIDE",
    "HARD",
    "HARMONIZATION",
    "HH_CHILD_ADULT",
    "HH_COUPLE_TWO_ADULTS",
    "HH_SINGLE_SIZE_ONE",
    "HH_SIZE_PLAUSIBLE",
    "HMN_AGE_RANGE",
    "HMN_BIRTH_DATE",
    "HMN_BUILDING_SCHEMA",
    "HMN_DWELLING_BUILDING_REF",
    "HMN_DWELLING_SCHEMA",
    "HMN_EDUCATION",
    "HMN_EDUCATION_AGE",
    "HMN_EDUCATION_GROUP",
    "HMN_EMPLOYMENT",
    "HMN_HOUSEHOLD_DWELLING_REF",
    "HMN_HOUSEHOLD_SCHEMA",
    "HMN_HOUSEHOLD_TYPE",
    "HMN_INDUSTRY",
    "HMN_MARITAL",
    "HMN_OCCUPATION",
    "HMN_ORIGIN",
    "HMN_PERSON_HOUSEHOLD_REF",
    "HMN_PERSON_SCHEMA",
    "HMN_RETIRED_AGE",
    "HMN_SEX",
    "INFORMATIONAL",
    "MODEL_FALLBACK_RATE",
    "MODEL_REGISTRY_PROFILE",
    "SPATIAL",
    "SPT_BUILDING_COORDS",
    "SPT_DWELLING_BUILDING_REF",
    "SPT_DWELLING_HOUSEHOLD_REF",
    "SPT_HH_DWELLING_REF",
    "SPT_PERSON_HOUSEHOLD_REF",
    "STRUCTURAL",
    "XCN_COMPARABILITY"
  ],
  "contract_files": [
    "synthetic_persons.parquet",
    "synthetic_households.parquet",
    "synthetic_dwellings.parquet",
    "synthetic_building_assignments.parquet",
    "hidden_population_overlays.unavailable.json",
    "work_school_assignments.unavailable.json",
    "build_manifest.json",
    "constraint_residuals.json",
    "distribution_diagnostics.json",
    "household_diagnostics.json",
    "dwelling_building_diagnostics.json",
    "assignment_diagnostics.json",
    "geography_quality_tiers.json",
    "uncertainty_summary.json",
    "source_provenance.json",
    "model_notes.md",
    "unavailable.json"
  ],
  "country": "BG",
  "created_at": "2026-05-19T17:01:19Z",
  "geography_version": {
    "seeded_test_zones": [
      "SET_BG_TEST_001",
      "SET_BG_TEST_002"
    ],
    "target": "BG_NASELENO_MYASTO_SEEDED_REVIEW"
  },
  "git_commit": "a5ad12d74bcf64a2c256e1fe83d99cc700e02bba-dirty",
  "git_dirty": true,
  "hard_constraint_status": "pass_exact",
  "hidden_population_scope": {
    "homelessness": {
      "reason": "No BG small-area measured homelessness distribution with uncertainty bounds is integrated in the current source layer.",
      "status": "unavailable"
    },
    "institutional_populations": {
      "reason": "No institution/group-quarter person layer integrated for BG in the current seeded synthesis path.",
      "status": "unavailable"
    },
    "refugees_asylum_seekers": {
      "reason": "No integrated Bulgaria age/sex/household/settlement-level refugee/asylum stock source with uncertainty bounds is wired into this seeded path.",
      "status": "unavailable"
    },
    "students": {
      "reason": "Education attributes exist only as modelled/constrained person attributes; no separate student-location/school assignment overlay is available.",
      "status": "unavailable_overlay"
    },
    "syrian_refugees": {
      "reason": "No Bulgaria-specific small-area measured source with bounds is integrated; model-only allocation would violate the uncertainty guardrail.",
      "status": "unavailable"
    },
    "ukrainian_displaced_people": {
      "reason": "Known policy-relevant group for Bulgaria, but no separate uncertainty-aware temporary-protection overlay source is integrated for this run.",
      "status": "unavailable"
    },
    "undocumented_seasonal_populations": {
      "reason": "No measured distribution with uncertainty bounds in current repo inputs.",
      "status": "unavailable"
    }
  },
  "known_limitations": [
    "Small seeded BG review slice only: 2 naseleno-myasto-style test zones, 8 persons/households; not nationwide 1:1 Bulgaria synthesis.",
    "Source-gap parents produced official NSI Census/current-statistics, Eurostat Census/LFS/SILC, NSI open-data and GGP leads, but no newly frozen/catalogued downloader artifacts were available to consume in synthesis.",
    "Live NSI retrieval adapter is not implemented; current bundle relies on existing seeded/manual catalogue artifacts.",
    "Buildings are AGCC-style seeded fixtures; dwellings may be inferred and are not full national register integration.",
    "Hidden populations and work/school assignments unavailable rather than modelled without bounds.",
    "Fine occupation detail is model-driven/fallback; ISCO-3 unavailable and flagged as fallback_1digit."
  ],
  "missing_key_inputs": [],
  "new_frozen_catalogued_inputs_consumed": [],
  "population_counts": {
    "buildings": 3,
    "dwellings": 8,
    "households": 8,
    "persons": 8
  },
  "project_root": "/home/synthestat",
  "random_seed": 420987,
  "release_mode": "internal_research_review",
  "run_id": "bg_population_review_cycle2_16b73a96_seed420987",
  "source_catalogue_version": {
    "readiness_status": "pass",
    "registry": "output/catalogue/distribution_registry_BG.json",
    "source_inventory_report": "output/BG/source_inventory_report.json"
  },
  "zones_degraded": []
}

constraint_residuals.json

{
  "constraint_precedence": [
    "HARD",
    "FIRM",
    "SOFT",
    "GUIDE",
    "INFORMATIONAL"
  ],
  "constraint_type_counts": {
    "FIRM": 2,
    "GUIDE": 2,
    "HARD": 4,
    "HARMONIZATION": 40,
    "INFORMATIONAL": 6,
    "SPATIAL": 10,
    "STRUCTURAL": 10
  },
  "country": "BG",
  "hard_constraint_broken_rows": [],
  "hard_constraint_status": "pass_exact",
  "residual_rows_source": "output/BG/validation_report.parquet",
  "residuals_by_constraint_type": {
    "FIRM": {
      "max_abs_relative_error": 0.0,
      "row_count": 2,
      "status_counts": {
        "pass": 2
      },
      "tolerance_policy": "normally <=2%"
    },
    "GUIDE": {
      "max_abs_relative_error": 0.0,
      "row_count": 2,
      "status_counts": {
        "pass": 2
      },
      "tolerance_policy": "prior only"
    },
    "HARD": {
      "max_abs_relative_error": 0.0,
      "row_count": 4,
      "status_counts": {
        "pass": 4
      },
      "tolerance_policy": "exact"
    },
    "HARMONIZATION": {
      "max_abs_relative_error": 0.0,
      "row_count": 40,
      "status_counts": {
        "pass": 40
      },
      "tolerance_policy": "structural/harmonization check; see validation rows"
    },
    "INFORMATIONAL": {
      "max_abs_relative_error": 1.0,
      "row_count": 6,
      "status_counts": {
        "skip": 2,
        "warn": 4
      },
      "tolerance_policy": "not constraining"
    },
    "SPATIAL": {
      "max_abs_relative_error": 0.0,
      "row_count": 10,
      "status_counts": {
        "pass": 10
      },
      "tolerance_policy": "structural/harmonization check; see validation rows"
    },
    "STRUCTURAL": {
      "max_abs_relative_error": 0.0,
      "row_count": 10,
      "status_counts": {
        "pass": 10
      },
      "tolerance_policy": "structural/harmonization check; see validation rows"
    }
  },
  "run_id": "bg_population_review_cycle2_16b73a96_seed420987",
  "skip_rows": [
    {
      "check_group": "cross_country",
      "confidence": 0.0,
      "constraint_type": "INFORMATIONAL",
      "country": "BG",
      "distribution_id": "XCN_COMPARABILITY",
      "message": "cross-country comparability requires 2+ countries",
      "pooling_level": "cross_country",
      "relative_error": 0.0,
      "severity": "informational",
      "status": "skip",
      "synthetic_value": 0.0,
      "target_value": 0.0,
      "zone_code": "SET_BG_TEST_001"
    },
    {
      "check_group": "cross_country",
      "confidence": 0.0,
      "constraint_type": "INFORMATIONAL",
      "country": "BG",
      "distribution_id": "XCN_COMPARABILITY",
      "message": "cross-country comparability requires 2+ countries",
      "pooling_level": "cross_country",
      "relative_error": 0.0,
      "severity": "informational",
      "status": "skip",
      "synthetic_value": 0.0,
      "target_value": 0.0,
      "zone_code": "SET_BG_TEST_002"
    }
  ],
  "status_counts": {
    "pass": 68,
    "skip": 2,
    "warn": 4
  },
  "validation_row_count": 74,
  "warn_rows": [
    {
      "check_group": "marginal",
      "confidence": 0.6,
      "constraint_type": "INFORMATIONAL",
      "country": "BG",
      "distribution_id": "MODEL_FALLBACK_RATE",
      "message": "share of employed persons using fallback_1digit occupation coding",
      "pooling_level": "partially_constrained",
      "relative_error": 1.0,
      "severity": "informational",
      "status": "warn",
      "synthetic_value": 1.0,
      "target_value": 0.0,
      "zone_code": "SET_BG_TEST_001"
    },
    {
      "check_group": "marginal",
      "confidence": 0.6,
      "constraint_type": "INFORMATIONAL",
      "country": "BG",
      "distribution_id": "MODEL_REGISTRY_PROFILE",
      "message": "registry profile indicates comparable-country dependence",
      "pooling_level": "partially_constrained",
      "relative_error": 0.289,
      "severity": "informational",
      "status": "warn",
      "synthetic_value": 0.289,
      "target_value": 0.0,
      "zone_code": "SET_BG_TEST_001"
    },
    {
      "check_group": "marginal",
      "confidence": 0.6,
      "constraint_type": "INFORMATIONAL",
      "country": "BG",
      "distribution_id": "MODEL_FALLBACK_RATE",
      "message": "share of employed persons using fallback_1digit occupation coding",
      "pooling_level": "partially_constrained",
      "relative_error": 1.0,
      "severity": "informational",
      "status": "warn",
      "synthetic_value": 1.0,
      "target_value": 0.0,
      "zone_code": "SET_BG_TEST_002"
    },
    {
      "check_group": "marginal",
      "confidence": 0.6,
      "constraint_type": "INFORMATIONAL",
      "country": "BG",
      "distribution_id": "MODEL_REGISTRY_PROFILE",
      "message": "registry profile indicates comparable-country dependence",
      "pooling_level": "partially_constrained",
      "relative_error": 0.289,
      "severity": "informational",
      "status": "warn",
      "synthetic_value": 0.289,
      "target_value": 0.0,
      "zone_code": "SET_BG_TEST_002"
    }
  ]
}

household_diagnostics.json

{
  "country": "BG",
  "family_composition_status": "weak_seeded_modelled",
  "household_count": 8,
  "household_role_counts": {
    "reference": 8
  },
  "household_size_counts": {
    "1": 8
  },
  "household_type_counts": {
    "HH_SINGLE_E": 2,
    "HH_SINGLE_M": 3,
    "HH_SINGLE_Y": 3
  },
  "households_without_dwelling": [],
  "notes": [
    "Seeded BG slice currently has 8 one-person households; family composition and parent/child age-gap realism cannot be validated beyond explicit unavailability/weak modelling notes."
  ],
  "parent_child_age_gap_status": "not_evaluable_no_child_households_in_seeded_BG_slice",
  "person_count": 8,
  "persons_without_household": [],
  "run_id": "bg_population_review_cycle2_16b73a96_seed420987",
  "school_attendance_status": "education attribute only; no school attendance/assignment layer"
}

dwelling_building_diagnostics.json

{
  "assignment_counts": {
    "linked_seeded_agcc_fixture": 8
  },
  "building_count": 3,
  "building_inventory_report": {
    "artifacts": {
      "buildings_path": "/home/synthestat/output/BG/buildings.parquet",
      "dwellings_path": "/home/synthestat/output/BG/dwellings.parquet"
    },
    "boundary_path": "/home/synthestat/config/buildings/BG/settlement_seed.geojson",
    "building_count": 3,
    "capacity_check": {
      "dwelling_count": 8,
      "household_count": 8,
      "ok": true,
      "shortfall": 0
    },
    "country": "BG",
    "dwelling_count": 8,
    "notes": [
      "Seeded BG Task 02 slice built from AGCC-style building fixtures plus naseleno_myasto-style seeded polygons.",
      "This remains a seeded bulgaria building-stock slice with heuristic dwelling inference, not a full national register integration."
    ],
    "quality_tier": "B2",
    "raw_path": "/home/synthestat/config/buildings/BG/agcc_seed.json",
    "zone_counts": {
      "SET_BG_TEST_001": 2,
      "SET_BG_TEST_002": 1
    }
  },
  "building_quality_tier_counts": {
    "B2": 3
  },
  "capacity_check": {
    "dwelling_count": 8,
    "household_count": 8,
    "ok": true,
    "shortfall": 0
  },
  "caveats": [
    "Dwellings are inferred where observed dwelling counts are absent; building realism is suitable only for internal seeded-path review."
  ],
  "country": "BG",
  "dwelling_count": 8,
  "dwelling_status_counts": {
    "inferred": 5,
    "observed": 3
  },
  "household_count": 8,
  "real_building_status": "seeded_agcc_style_fixture_not_live_national_register",
  "review_bundle_repair": {
    "synthetic_dwellings_household_id": "populated_from_synthetic_households.dwelling_id for cycle-2 rerun; source output/BG/dwellings.parquet remains unchanged"
  },
  "run_id": "bg_population_review_cycle2_16b73a96_seed420987"
}

distribution_diagnostics.json

{
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  "coverage_summary": {
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… truncated after 12,000 characters …

uncertainty_summary.json

{
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      "finest_geography_status": "constrained",
      "spec_id": "D05_education_nuts2",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.3,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D06_employment_age_sex_education",
      "confidence": 0.73,
      "constraint_type": "FIRM",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D06_employment_age_sex_education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.27,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D07_occupation_isco3",
      "confidence": 0.71,
      "constraint_type": "SOFT",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D07_occupation_isco3",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.29,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D08_occupation_education",
      "confidence": 0.71,
      "constraint_type": "SOFT",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D08_occupation_education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.29,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D09_industry_nace2",
      "confidence": 0.71,
      "constraint_type": "SOFT",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D09_industry_nace2",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.29,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D10_income_education_occupation",
      "confidence": 0.71,
      "constraint_type": "SOFT",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D10_income_education_occupation",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.29,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D11_income_household_type_region",
      "confidence": 0.71,
      "constraint_type": "SOFT",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D11_income_household_type_region",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.29,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D12_household_type_size_region",
      "confidence": 0.73,
      "constraint_type": "FIRM",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D12_household_type_size_region",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.27,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D13_children_mother_age_education",
      "confidence": 0.71,
      "constraint_type": "SOFT",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D13_children_mother_age_education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.29,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D14_partner_age_gap_homogamy",
      "confidence": 0.71,
      "constraint_type": "SOFT",
      "dataset_variant": "robust",
      "finest_geography_status": "constrained",
      "spec_id": "D14_partner_age_gap_homogamy",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.29,
        "method": "heuristic_range"
      }
    },
    {
      "catalogue_id": "D15_coresidence_structure",
      "confidence": 0.71,
      "constraint_type": "SOFT",
      "datase

… truncated after 12,000 characters …

source_provenance.json

{
  "best_distribution_sources": {
    "D01_demographics_finest": "BG_NSI_population",
    "D05_education": "BG_NSI_education",
    "D12_household_type": "BG_NSI_households",
    "building_stock": "BG_AGCC_seeded_buildings",
    "employment_occupation_industry": "BG_NSI_employment",
    "geography_boundaries": "BG_NSI_boundaries",
    "income": "BG_NSI_income"
  },
  "catalogue_sources": {
    "coverage": "output/catalogue/distribution_coverage_BG.json",
    "readiness": "output/catalogue/distribution_readiness_BG.json",
    "registry": "output/catalogue/distribution_registry_BG.json"
  },
  "country": "BG",
  "created_at": "2026-05-19T17:01:19Z",
  "geography_levels": [
    "NUTS-1",
    "NUTS-2",
    "NUTS-3",
    "national",
    "unknown"
  ],
  "manual_sources": [
    "BG_NSI_population",
    "BG_NSI_households",
    "BG_NSI_education",
    "BG_NSI_employment",
    "BG_NSI_income",
    "BG_NSI_boundaries",
    "BG_AGCC_seeded_buildings",
    "BG_ADMIN_address_context"
  ],
  "new_frozen_catalogued_inputs_consumed": [],
  "provenance_completion_audit": {
    "entries_with_checksum": 0,
    "entries_with_licence_or_license": 0,
    "entries_with_reference_period": 0,
    "entries_with_retrieval_timestamp": 0,
    "entries_with_source_url": 0,
    "entry_count": 38,
    "status": "partial; handoff source routes are documented but registry entries are not yet fully downloader-frozen with per-entry URL/timestamp/licence/checksum"
  },
  "quality_flags": {
    "readiness_status": "pass",
    "source_gaps": [
      "No live NSI retrieval adapter is implemented yet for BG Task 01.",
      "Building integration is still fixture-backed and requires dwelling inference.",
      "Current Bulgaria execution is an uncertainty-aware seeded slice, not a production national extraction path."
    ],
    "warning_issues": []
  },
  "reference_periods": "See registry entries/source catalogue; bundle does not rewrite source periods.",
  "registry_entries": [
    {
      "catalogue_id": "literature:de-c01_education_occupation_coupling__transfer_from_de",
      "confidence": 0.6,
      "constraint_type": "GUIDE",
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      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "EU_NUTS_2021",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "37dd178fbfc096717d310f69212adab59f44c786ab0a7ba3a619cd14a1ad25a8",
      "spec_id": "C01_education_occupation_coupling",
      "spec_label": "Education-occupation coupling strength",
      "uncertainty": {
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        "credible_level": 0.9,
        "mean_cell_cv": 0.2,
        "method": "literature_regression"
      }
    },
    {
      "catalogue_id": "literature:de-c02_assortative_mating_education__transfer_from_de",
      "confidence": 0.61,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
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      "geo_level": "NUTS-1",
      "geo_version": "EU_NUTS_2021",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "eaee1a327700e2d610d66250874c4a02384c91acf0978dc0da7068f160c72ccb",
      "spec_id": "C02_assortative_mating_education",
      "spec_label": "Assortative mating by education",
      "uncertainty": {
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        "credible_level": 0.9,
        "mean_cell_cv": 0.19,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:de-c03_assortative_mating_age__transfer_from_de",
      "confidence": 0.68,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
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      "geo_level": "NUTS-1",
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      "region_id": null,
      "schema_hash": "3eb83fc2d668330c0741a9ecbc79396899723ab82c36e6ea65145422ab21298e",
      "spec_id": "C03_assortative_mating_age",
      "spec_label": "Assortative mating by age",
      "uncertainty": {
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        "mean_cell_cv": 0.14,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:de-c04_assortative_mating_origin__transfer_from_de",
      "confidence": 0.62,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
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      "region_id": null,
      "schema_hash": "28af2b98be831deada16d0cb59fff8c508690bec693dba1d2ada30ed79847f7c",
      "spec_id": "C04_assortative_mating_origin",
      "spec_label": "Assortative mating by origin",
      "uncertainty": {
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        "credible_level": 0.9,
        "mean_cell_cv": 0.19,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:de-c05_spatial_sorting_education__transfer_from_de",
      "confidence": 0.7,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
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      "schema_hash": "81919503e223cee02fbe214f9f58eee6beea943d8f4c47532dfb1f637823c718",
      "spec_id": "C05_spatial_sorting_education",
      "spec_label": "Spatial sorting by education",
      "uncertainty": {
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        "credible_level": 0.9,
        "mean_cell_cv": 0.13,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:de-c06_spatial_sorting_income__transfer_from_de",
      "confidence": 0.7,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "EU_NUTS_2021",
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      "region_id": null,
      "schema_hash": "67a18b48874fd2b61c8c75faae79efcac77b098d9bf8731158987b9606f47fa8",
      "spec_id": "C06_spatial_sorting_income",
      "spec_label": "Spatial sorting by income",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.13,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:de-c07_spatial_sorting_origin__transfer_from_de",
      "confidence": 0.72,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "EU_NUTS_2021",
      "pooling_level": "comparable_country",
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      "region_id": null,
      "schema_hash": "fb6ec84389491d99568ac7ff76790b8aed6554eee22412ab01b23d654b2b302e",
      "spec_id": "C07_spatial_sorting_origin",
      "spec_label": "Spatial sorting by origin",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.12,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:de-c08_intergenerational_income_elasticity__transfer_from_de",
      "confidence": 0.58,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "EU_NUTS_2021",
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      "region_id": null,
      "schema_hash": "3d22c15ad14b099d588d92509ac6c1cc093b93030886566dfb5515832921485c",
      "spec_id": "C08_intergenerational_income_elasticity",
      "spec_label": "Intergenerational income elasticity",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.22,
        "method": "literature_prior"
      }
    },
    {
      "catalogue_id": "literature:de-c09_intergenerational_occupation_transmission__transfer_from_de",
      "confidence": 0.58,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "EU_NUTS_2021",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "442742abe9c98b9e140543e204024034e0af7af48f434f22ce06c293940cb417",
      "spec_id": "C09_intergenerational_occupation_transmission",
      "spec_label": "Intergenerational occupation transmission",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.22,
        "method": "literature_regression"
      }
    },
    {
      "catalogue_id": "literature:de-c10_commuting_mode_distance__transfer_from_de",
      "confidence": 0.64,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "NUTS-1",
      "geo_version": "EU_NUTS_2021",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "2015fab2a394a190c86a9f6689f241a0cc479afe8e92a88dd282ecfe5b3a669b",
      "spec_id": "C10_commuting_mode_distance",
      "spec_label": "Commuting mode × distance × occupation × region",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
        "mean_cell_cv": 0.18,
        "method": "literature_transition"
      }
    },
    {
      "catalogue_id": "literature:de-c11_health_age_sex_education__transfer_from_de",
      "confidence": 0.62,
      "constraint_type": "GUIDE",
      "country": "BG",
      "data_uri": "data/literature/seeded_occupation_priors.yaml",
      "dataset_variant": "comparable_country",
      "evidence_quality": "academic_literature",
      "finest_geography_status": "modelled",
      "geo_level": "national",
      "geo_version": "EU_NUTS_2021",
      "pooling_level": "comparable_country",
      "priority_weight": "low",
      "region_id": null,
      "schema_hash": "576119788fbe954a5198139e9bd5d75211297f26096080fb89a111fc0f12c1df",
      "spec_id": "C11_health_age_sex_education",
      "spec_label": "Health × age × sex × education",
      "uncertainty": {
        "bounds_uri": null,
        "credible_level": 0.9,
   

… truncated after 12,000 characters …

unavailable.json

{
  "categories": {
    "homelessness": {
      "reason": "No BG small-area measured homelessness distribution with uncertainty bounds is integrated in the current source layer.",
      "status": "unavailable"
    },
    "institutional_populations": {
      "reason": "No institution/group-quarter person layer integrated for BG in the current seeded synthesis path.",
      "status": "unavailable"
    },
    "refugees_asylum_seekers": {
      "reason": "No integrated Bulgaria age/sex/household/settlement-level refugee/asylum stock source with uncertainty bounds is wired into this seeded path.",
      "status": "unavailable"
    },
    "students": {
      "reason": "Education attributes exist only as modelled/constrained person attributes; no separate student-location/school assignment overlay is available.",
      "status": "unavailable_overlay"
    },
    "syrian_refugees": {
      "reason": "No Bulgaria-specific small-area measured source with bounds is integrated; model-only allocation would violate the uncertainty guardrail.",
      "status": "unavailable"
    },
    "ukrainian_displaced_people": {
      "reason": "Known policy-relevant group for Bulgaria, but no separate uncertainty-aware temporary-protection overlay source is integrated for this run.",
      "status": "unavailable"
    },
    "undocumented_seasonal_populations": {
      "reason": "No measured distribution with uncertainty bounds in current repo inputs.",
      "status": "unavailable"
    }
  },
  "country": "BG",
  "created_at": "2026-05-19T17:01:19Z",
  "files": {
    "hidden_population_overlays.parquet": "hidden_population_overlays.unavailable.json",
    "work_school_assignments.parquet": "work_school_assignments.unavailable.json"
  },
  "principle": "Unavailable/weak layers are explicit and do not alter de jure/core HARD constraints.",
  "run_id": "bg_population_review_cycle2_16b73a96_seed420987"
}