{"id":"W3034331629","doi":"10.33137/utjph.v1i1.33812","title":"Premature Mortality in Canada","year":2020,"lang":"en","type":"article","venue":"University of Toronto Journal of Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"","keywords":"Demography; Mortality rate; Residence; Geography; Socioeconomic status; Population; Census; Neighbourhood (mathematics); Medicine","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":[0.001228965,0.0005094308,0.0006181428,0.003652169,0.00489919,0.002037314,0.001581614,0.0006448157,0.01105755],"category_scores_gemma":[0.004517973,0.0003327587,0.001456769,0.007706374,0.0006340022,0.0005215647,0.002166112,0.00151589,0.001499816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04889739,"about_ca_system_score_gemma":0.1941443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954145,"about_ca_topic_score_gemma":0.9964421,"domain_scores_codex":[0.9978836,0.0001153827,0.0001509663,0.0001933298,0.0008910126,0.0007656647],"domain_scores_gemma":[0.9940214,0.0001247883,0.0003489907,0.0000893586,0.004054601,0.001360941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001663875,0.00007241558,0.4962013,0.001799102,0.0002614643,0.0007390603,0.001185746,0.0006410647,0.0002210606,0.004937749,0.3421418,0.1516328],"study_design_scores_gemma":[0.00005183868,0.00005721462,0.9037226,0.001726305,0.0001247318,0.0004538881,0.00169658,0.000793685,0.0001225169,0.001183474,0.08998398,0.0000831967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2942179,0.1043409,0.002596038,0.06522252,0.004618784,0.001100783,0.3249283,0.00101034,0.2019645],"genre_scores_gemma":[0.7879384,0.06959926,0.004413358,0.01081328,0.0006642934,0.0008357031,0.09183729,0.000162269,0.03373625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04889739,"threshold_uncertainty_score":0.3547771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08474455319103406,"score_gpt":0.2752796079327062,"score_spread":0.1905350547416721,"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."}}