{"id":"W2134191920","doi":"10.1093/jpepsy/jsu089","title":"Province-Level Income Inequality and Health Outcomes in Canadian Adolescents","year":2014,"lang":"en","type":"article","venue":"Journal of Pediatric Psychology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Socioeconomic status; Mental health; Inequality; Health equity; Economic inequality; Household income; Family income; Psychology; Social inequality; Limiting; Social class; Environmental health; Demography; Gerontology; Public health; Medicine; Population; Geography; Economics; Psychiatry; Sociology; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00478011,0.00009172236,0.0004062039,0.000431496,0.0001860166,0.00002508858,0.0002441285,0.0001362995,0.00003452624],"category_scores_gemma":[0.0006486843,0.00007880305,0.00005238189,0.0002078417,0.00007183923,0.0001416604,0.00001836951,0.000343696,0.000009197659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003390737,"about_ca_system_score_gemma":0.001855045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4065257,"about_ca_topic_score_gemma":0.7908698,"domain_scores_codex":[0.9977256,0.0005501774,0.0006854886,0.0001324359,0.0002483168,0.0006579523],"domain_scores_gemma":[0.9984732,0.0001358079,0.0004021422,0.0001094128,0.00007286468,0.0008065993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000827045,0.00004316071,0.9903565,0.00005612387,0.000002912834,0.000008187186,0.0007919913,3.396052e-7,2.098661e-8,0.002089806,0.002258399,0.004384303],"study_design_scores_gemma":[0.0007066607,0.00009000904,0.9805939,0.00001796985,0.000004463993,0.000005329363,0.0001629367,0.000001510207,1.232279e-8,0.001428813,0.01691652,0.00007189056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935742,0.0005233105,0.00009596378,0.06007433,0.001854015,0.0001694667,0.00001143054,0.000006704071,0.00152281],"genre_scores_gemma":[0.9843455,0.001212704,0.0002991931,0.01320391,0.0008501323,0.000001182103,3.823754e-7,0.000006410474,0.0000805718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.384344,"threshold_uncertainty_score":0.5974263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08049248636984653,"score_gpt":0.4259651004053668,"score_spread":0.3454726140355203,"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."}}