{"id":"W2158710322","doi":"10.7202/008994ar","title":"La santé, un facteur déterminant de la retraite anticipée ?","year":2004,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002328982,0.0002503856,0.0003790035,0.001504045,0.001899257,0.002823779,0.0007705376,0.001331588,0.01212595],"category_scores_gemma":[0.008642396,0.000151859,0.0004756593,0.001563704,0.001935782,0.001899424,0.001432487,0.001719192,0.0005110392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009454996,"about_ca_system_score_gemma":0.01335634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5280141,"about_ca_topic_score_gemma":0.6687883,"domain_scores_codex":[0.9989284,0.000252843,0.00004742486,0.000109277,0.0002250456,0.0004370002],"domain_scores_gemma":[0.9941502,0.001973431,0.00151494,0.0001744393,0.001063837,0.001123222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001412344,0.0001786937,0.8410554,0.0005183847,0.0001059277,0.0005351176,0.01988869,0.0007414879,0.0004345002,0.02957992,0.007715977,0.09910476],"study_design_scores_gemma":[0.000007919021,0.0001284738,0.910557,0.0007711904,0.00006223947,0.0002637051,0.03052646,0.0004835236,0.0002389772,0.003950641,0.05295566,0.00005426687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7823347,0.02100199,0.0028456,0.1003904,0.0005430478,0.0001472742,0.002323235,0.00003952485,0.09037422],"genre_scores_gemma":[0.9818786,0.00570231,0.0005674401,0.001451943,0.0001304156,0.00003655948,0.000236382,0.000008340196,0.009988109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4719859,"threshold_uncertainty_score":0.9495311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235338005434001,"score_gpt":0.3744389515935135,"score_spread":0.3320855715391735,"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."}}