{"id":"W2725549098","doi":"10.1093/geroni/igx004.096","title":"COHORT EFFECTS IN DISABILITY: IMPLICATIONS FOR MORE DISABILITY IN OLD AGE AND IN RECENT GENERATIONS?","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Krembil Foundation; Public Health Ontario; University of Toronto","funders":"","keywords":"Cohort; Medicine; Odds; Demography; Gerontology; Cohort effect; Life course approach; Cohort study; Obesity; Logistic regression; Population; Psychology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02212686,0.0008990275,0.001397529,0.002163981,0.002306944,0.002952378,0.002036128,0.002216109,0.007395652],"category_scores_gemma":[0.04399112,0.000596741,0.002692013,0.003534035,0.002610493,0.005222295,0.002656841,0.00338609,0.0002824404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181691,"about_ca_system_score_gemma":0.003869518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1846192,"about_ca_topic_score_gemma":0.1949956,"domain_scores_codex":[0.9911709,0.002637762,0.0005504989,0.003140233,0.0010069,0.001493607],"domain_scores_gemma":[0.9715248,0.01139318,0.006443206,0.005397838,0.00238094,0.002859927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000199877,0.00007870456,0.9715326,0.0001263358,0.0009587496,0.0003701765,0.003265711,0.000205841,0.0001181401,0.005565074,0.001207953,0.01637088],"study_design_scores_gemma":[0.00001820897,0.00009646115,0.98794,0.0002930644,0.0004034453,0.0002385006,0.00231856,0.0005687053,0.00005510409,0.004833718,0.00318885,0.00004535861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929175,0.04784399,0.008747675,0.03471921,0.002058567,0.0002845959,0.003595677,0.0001049229,0.009727924],"genre_scores_gemma":[0.9838629,0.006975022,0.001975475,0.003262311,0.0005756665,0.000108906,0.0009552413,0.00004312318,0.002241367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846192,"threshold_uncertainty_score":0.3670892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06800956287905108,"score_gpt":0.4237309692107947,"score_spread":0.3557214063317437,"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."}}