{"id":"W3021161059","doi":"10.1136/oem-2019-epi.78","title":"O3D.7 Constances: a population-based cohort for occupational epidemiology","year":2019,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biobank; Psychosocial; Medicine; Epidemiology; Public health; Cohort; Socioeconomic status; Population; Gerontology; Cohort study; Inclusion (mineral); Health care; Environmental health; Family medicine; Psychology; Psychiatry; Nursing","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":[0.00209846,0.001155782,0.000975494,0.00180896,0.001670076,0.001013145,0.001995489,0.001358409,0.02265089],"category_scores_gemma":[0.004296307,0.0007887814,0.001182281,0.003330217,0.0002800149,0.0007849389,0.001864827,0.0007702212,0.009384962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358102,"about_ca_system_score_gemma":0.002530771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07516114,"about_ca_topic_score_gemma":0.0615265,"domain_scores_codex":[0.9982644,0.0005386868,0.0001653021,0.0003739186,0.0003181433,0.0003396353],"domain_scores_gemma":[0.9981041,0.0001245707,0.000336229,0.0005126999,0.0006399007,0.0002824755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008086296,0.001147755,0.5726439,0.001520881,0.0008374098,0.001891356,0.0009345693,0.0004995226,0.005248024,0.002856593,0.359151,0.04518277],"study_design_scores_gemma":[0.001444844,0.0009986601,0.7914566,0.0003700393,0.0002771997,0.00103015,0.000426067,0.0004927342,0.0005857135,0.0005029213,0.2023505,0.00006456292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1997361,0.001793417,0.006041755,0.001260602,0.0006856854,0.01187445,0.7484306,0.0007451937,0.02943212],"genre_scores_gemma":[0.3146073,0.001506369,0.01312575,0.003623422,0.0007896823,0.02650022,0.5750661,0.0004537924,0.06432738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07516114,"threshold_uncertainty_score":0.1494473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09325932030768982,"score_gpt":0.4596587597574243,"score_spread":0.3663994394497344,"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."}}