{"id":"W2556614328","doi":"10.1136/bmjopen-2016-012564","title":"Narrowing mortality gap between men and women over two decades: a registry-based study in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"BMJ Open","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"Agency for Healthcare Research and Quality; Ontario Ministry of Health and Long-Term Care; Medical Research Council; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Demography; Population; Mortality rate; Decile; Socioeconomic status; Relative risk; Epidemiology; Public health; Cause of death; Gerontology; Confidence interval; Environmental health; Disease; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002223183,0.0001164037,0.000263356,0.00005486989,0.000243626,0.0001785755,0.0005654538,0.00004657535,0.0005638212],"category_scores_gemma":[0.00008066453,0.00008429323,0.00001967779,0.0002145245,0.00009695768,0.0002399293,0.0001779302,0.00009579863,0.000001121583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004060124,"about_ca_system_score_gemma":0.002578955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997535,"about_ca_topic_score_gemma":0.9999018,"domain_scores_codex":[0.9981658,0.0003456883,0.0002616889,0.0003540661,0.0004893085,0.0003834699],"domain_scores_gemma":[0.999239,0.0001538284,0.0001071285,0.0002836316,0.00002244673,0.0001939708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000019585,0.00003126524,0.9797026,0.000003113683,0.00003702111,0.00001749044,0.01637506,4.420391e-7,0.000002453343,0.000137009,0.000802246,0.002871701],"study_design_scores_gemma":[0.001223652,0.00004592688,0.9744214,0.00004945067,0.00001060231,8.609163e-8,0.01735698,8.767457e-7,0.000002162696,0.001377463,0.005341706,0.0001696429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547611,0.000006074332,0.000003006179,0.0008541511,0.00005891631,0.001568225,0.00002004813,0.00001221271,0.04271623],"genre_scores_gemma":[0.9967839,7.750621e-7,0.0000411279,0.0001163363,0.00004373565,0.000338806,0.000002069972,0.000005697291,0.002667567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04202275,"threshold_uncertainty_score":0.6173447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1676640252978907,"score_gpt":0.4339693207382062,"score_spread":0.2663052954403156,"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."}}