{"id":"W3033540916","doi":"10.71781/13012","title":"Age, period, and cohort effects on adult mortality due to extrinsic causes of death","year":2019,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Cohort; Cohort effect; Demography; Medicine; Gerontology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003209989,0.0004266357,0.0002965432,0.0005552357,0.0003707968,0.0007856959,0.0004306264,0.0005649705,0.005508794],"category_scores_gemma":[0.00796574,0.0002735088,0.001825555,0.000447796,0.0002659903,0.0005332172,0.0009963879,0.0006632181,0.0004176019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003491364,"about_ca_system_score_gemma":0.00112094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614421,"about_ca_topic_score_gemma":0.01955511,"domain_scores_codex":[0.999207,0.0002626035,0.00004701087,0.0001565373,0.00006995553,0.0002569591],"domain_scores_gemma":[0.9943235,0.002040887,0.001206096,0.0008969779,0.0003889235,0.001143657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003223379,0.00007994696,0.9854854,0.00008358967,0.0009404427,0.0001554218,0.0003837463,0.0003387181,0.0005874058,0.0004182333,0.0004879157,0.007815821],"study_design_scores_gemma":[0.00002594341,0.0005099456,0.9969494,0.00004229065,0.0004691467,0.000076455,0.0001996003,0.0002669394,0.0001141853,0.0001340668,0.00120099,0.00001110364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892881,0.005094924,0.0004024283,0.0003967415,0.000157311,0.00003474479,0.001439456,0.00001847911,0.003167773],"genre_scores_gemma":[0.9929857,0.001895798,0.0002240234,0.0001187005,0.00008112786,0.00002888292,0.0005594236,0.00001303306,0.00409349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01614421,"threshold_uncertainty_score":0.0321005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007482293942913708,"score_gpt":0.2243410417469769,"score_spread":0.2168587478040632,"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."}}