{"id":"W2728321233","doi":"10.1093/geroni/igx004.2641","title":"THE CANADIAN LONGITUDINAL STUDY ON AGING: STUDY DESIGN AND METHODS","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University; McGill University; Dalhousie University","funders":"","keywords":"Data collection; Longitudinal study; Tracking (education); Demography; Baseline (sea); Gerontology; Presentation (obstetrics); Geography; Medicine; Psychology; Political science; Sociology; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008714479,0.00006140508,0.00009421555,0.0001673542,0.004684158,0.0006875493,0.0002433615,0.00002693021,0.000007310975],"category_scores_gemma":[0.001451933,0.00004896148,0.000006048109,0.0002991105,0.0001038905,0.0001713996,0.00003377127,0.0001628908,0.000002164435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108359,"about_ca_system_score_gemma":0.000343194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5778932,"about_ca_topic_score_gemma":0.8326842,"domain_scores_codex":[0.9985911,0.0005062448,0.0002400655,0.0001536124,0.0002055437,0.000303445],"domain_scores_gemma":[0.9990308,0.0004733804,0.0001172279,0.0002180704,0.0001014805,0.00005899613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000222078,0.0000241925,0.935148,0.000001943725,0.000005348804,0.000006110786,0.01921994,0.000005150814,1.939603e-7,0.02885743,0.0001153417,0.0166141],"study_design_scores_gemma":[0.0002118524,0.00002829862,0.9602834,0.00001433537,0.000002420107,1.063258e-7,0.03256305,0.00003767523,0.000001862085,0.00149433,0.005305302,0.00005737819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606668,0.00003500264,0.001098104,0.02888131,0.0007292414,0.001038742,3.909668e-7,0.00002170658,0.007528713],"genre_scores_gemma":[0.9982527,0.000005019479,0.0006707778,0.0006354742,0.00009614107,0.00003915595,1.567904e-7,0.000004884521,0.0002956825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.254791,"threshold_uncertainty_score":0.9966116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2619140741557814,"score_gpt":0.515707226153599,"score_spread":0.2537931519978175,"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."}}