{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005850578,0.00005491066,0.0002294876,0.00001035647,0.00004808087,0.000003796292,0.0002396765,0.0000277375,0.003303153],"category_scores_gemma":[0.00006362656,0.00005579275,0.00003286848,0.00007134289,0.0000304862,0.0004075422,0.00006852805,0.0001373448,0.000002847958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003137496,"about_ca_system_score_gemma":0.001421583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9775793,"about_ca_topic_score_gemma":0.995692,"domain_scores_codex":[0.9989902,0.0001127634,0.0002339725,0.00007883556,0.0003258969,0.0002583814],"domain_scores_gemma":[0.9988179,0.00002423825,0.0003595623,0.00007388974,0.00002180131,0.0007026002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004934021,0.0001003618,0.8695534,0.000168727,0.00001603566,0.0001075651,0.01824769,0.0001516967,0.000063992,0.00004322769,0.09063353,0.02086441],"study_design_scores_gemma":[0.0004936017,0.0001863132,0.9360541,0.00003282409,0.000003157988,0.000006849312,0.007983367,0.0001710301,0.000002765592,0.00001000018,0.05499961,0.00005639169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571226,0.0005131908,0.0000982186,0.03841617,0.0000878896,0.00009667203,0.00002196257,0.000002881609,0.003640413],"genre_scores_gemma":[0.9967684,0.0007250072,0.0003418029,0.002108375,0.00003252249,8.369334e-9,0.000001371193,0.000002672584,0.00001989009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06650066,"threshold_uncertainty_score":0.9976079,"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."}}