{"id":"W2116220909","doi":"10.1093/ije/dyu257","title":"Cohort Profile: FAMILY Cohort","year":2015,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cohort; Socioeconomic status; Demography; Population; Household income; Neighbourhood (mathematics); Cohort study; Happiness; Medicine; Geography; Gerontology; Psychology; Environmental health; Social psychology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001965007,0.0005969071,0.0006112051,0.00136288,0.001162966,0.0008267912,0.0009226978,0.0007158138,0.03215216],"category_scores_gemma":[0.006649208,0.0004309872,0.0007074553,0.002467555,0.0001150198,0.0008649378,0.001198371,0.001064611,0.01083854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007083299,"about_ca_system_score_gemma":0.002478722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03669117,"about_ca_topic_score_gemma":0.03094205,"domain_scores_codex":[0.9992464,0.0001770997,0.000101131,0.0001829623,0.0001176226,0.0001749612],"domain_scores_gemma":[0.9974414,0.0002293982,0.0002629209,0.0006648641,0.001025969,0.0003753667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.004457128,0.0003912061,0.353944,0.001019944,0.0005572789,0.0006039538,0.0006490692,0.0007275707,0.001164603,0.001859385,0.5645962,0.07002958],"study_design_scores_gemma":[0.00116156,0.0006336172,0.6551326,0.000824335,0.0004100524,0.001077321,0.0006943597,0.001022901,0.0006067077,0.001694731,0.3366198,0.0001220727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07133761,0.000680763,0.004831393,0.0006707759,0.0002657484,0.003416813,0.9043007,0.0004398351,0.01405629],"genre_scores_gemma":[0.1898684,0.001909198,0.01243511,0.00153259,0.000340546,0.01833623,0.7312914,0.0004340965,0.04385246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03669117,"threshold_uncertainty_score":0.1075596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1427002712461694,"score_gpt":0.4636015686966851,"score_spread":0.3209012974505157,"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."}}