{"id":"W3122544866","doi":"10.5167/uzh-138667","title":"Mortality inequality in Canada and the U.S.: divergent or convergent trends?","year":2017,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Demography; Demographic economics; Mortality rate; Fell; Infant mortality; Child mortality; Economics; Geography; Sociology; Population; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001838944,0.0003367712,0.0008149674,0.005313594,0.003174451,0.00245077,0.001109416,0.0005479167,0.002426515],"category_scores_gemma":[0.006322091,0.0001738025,0.0005302381,0.01240847,0.001652857,0.001189079,0.002386334,0.001334468,0.0001769964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02166507,"about_ca_system_score_gemma":0.04377551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9870995,"about_ca_topic_score_gemma":0.9919903,"domain_scores_codex":[0.9980078,0.0001352539,0.0001004207,0.00025574,0.0006434831,0.0008572058],"domain_scores_gemma":[0.9947655,0.0003202805,0.0005889758,0.0001625413,0.003160446,0.001002238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002040982,0.00005230101,0.9006332,0.0003405769,0.0003092047,0.0001540309,0.006483822,0.0004209477,0.0002787795,0.009058795,0.0154725,0.06659172],"study_design_scores_gemma":[0.000003756805,0.00001156414,0.9904063,0.0002491527,0.00004910259,0.0000253891,0.002820768,0.0001729315,0.00007485466,0.0003524458,0.005813298,0.00002023044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8500301,0.04524207,0.0008251303,0.03759227,0.0003510238,0.00007953455,0.02233361,0.0001015771,0.04344479],"genre_scores_gemma":[0.9843261,0.008389661,0.0004323869,0.001287063,0.00009513066,0.00002050145,0.004564513,0.0000213353,0.0008632919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02166507,"threshold_uncertainty_score":0.1571919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04495729359526049,"score_gpt":0.3023401240951615,"score_spread":0.2573828304999011,"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."}}