{"id":"W3158350417","doi":"10.1002/psp.2466","title":"Health costs and benefits associated with economic transitions: Linking records of address change, property value, and self‐reported health","year":2021,"lang":"en","type":"article","venue":"Population Space and Place","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health and Social Care Research and Development Division; Medical Research Council Canada; Economic and Social Research Council; Medical Research Council; Public Health Agency","keywords":"Poverty; Mental health; Earnings; Population; Social determinants of health; Value (mathematics); Health equity; Health and Retirement Study; Gerontology; Demographic economics; Psychology; Medicine; Environmental health; Geography; Health care; Business; Economics; Economic growth; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004375794,0.0003042267,0.0004433072,0.003784142,0.0004809515,0.001676056,0.001074255,0.0007382336,0.00251833],"category_scores_gemma":[0.03302796,0.0004096551,0.00114217,0.007173332,0.000609492,0.001368496,0.002731802,0.001182964,0.000347494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561885,"about_ca_system_score_gemma":0.000980834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07956244,"about_ca_topic_score_gemma":0.07124136,"domain_scores_codex":[0.9941986,0.003408049,0.0006692334,0.0005878119,0.0005528128,0.0005835565],"domain_scores_gemma":[0.9761451,0.009946404,0.009548148,0.001696718,0.001910737,0.0007528138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005083577,0.00002131293,0.9975152,0.0000243869,0.0001262521,0.00002269599,0.0000894217,0.000276449,0.000008134181,0.00005204905,0.0002179848,0.001595214],"study_design_scores_gemma":[0.000003192863,0.00004115447,0.9977233,0.00004304417,0.00004875971,0.00004960306,0.0005218848,0.00114525,0.00002181456,0.0001035574,0.0002905051,0.000008035426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888904,0.0005842217,0.0005589796,0.0003948093,0.00002170787,0.00005254311,0.008143215,0.000009148648,0.001345019],"genre_scores_gemma":[0.9953547,0.0001966771,0.0004906596,0.0000325862,0.00001752148,0.00005051605,0.003614516,0.000003655962,0.0002392509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07956244,"threshold_uncertainty_score":0.1581987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06744053993195853,"score_gpt":0.3368503876770743,"score_spread":0.2694098477451158,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}