{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003896908,0.0003875311,0.0006021022,0.0004555229,0.003433191,0.00007611558,0.0004202417,0.0003709208,0.00001433883],"category_scores_gemma":[0.0001435954,0.000443432,0.00027246,0.0004176409,0.0002588851,0.0002263403,0.0001054718,0.0002993401,0.00002944127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825138,"about_ca_system_score_gemma":0.0008000039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1154368,"about_ca_topic_score_gemma":0.09211207,"domain_scores_codex":[0.9969888,0.0002669629,0.0003705587,0.0007132582,0.001231001,0.0004294184],"domain_scores_gemma":[0.9983218,0.000129291,0.0003764282,0.0004867481,0.000386732,0.0002990155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007207936,0.0003030104,0.7860844,0.0008769932,0.001075809,0.003491103,0.06114877,0.0002353887,0.0009217979,0.1393398,0.0005527134,0.005249507],"study_design_scores_gemma":[0.0004982708,0.0001296178,0.9720804,0.0003669309,0.0004349621,0.00001534,0.01745182,0.00001111089,0.001206131,0.0002410874,0.007096901,0.0004674209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044422,0.001763719,0.00001348842,0.00007289594,0.001389418,0.001282359,0.00005185857,0.00008485003,0.09089924],"genre_scores_gemma":[0.9824222,0.000701786,0.000109418,0.0001204729,0.0001472969,0.00005402026,0.0001451861,0.00002666771,0.01627291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1859961,"threshold_uncertainty_score":0.9998018,"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."}}