{"id":"W6964251186","doi":"10.25318/1310000701-fra","title":"Mortalité, selon certaines causes de décès et le sexe, Canada, provinces, territoires et régions sociosanitaires, taux","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Health services; Limiting; Cancer","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"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0006870865,0.001713981,0.00139366,0.00042664,0.001181391,0.0005535254,0.001337622,0.0007090518,0.0003653156],"category_scores_gemma":[0.003448232,0.002089221,0.0001140313,0.000779966,0.0004609865,0.0005978731,0.0003368988,0.001577054,0.0000562086],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01868205,"about_ca_system_score_gemma":0.09530061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996873,"about_ca_topic_score_gemma":0.9999954,"domain_scores_codex":[0.9901159,0.001341797,0.00172582,0.001623549,0.00318177,0.002011209],"domain_scores_gemma":[0.9914962,0.002926065,0.001852049,0.001511762,0.001292351,0.0009215645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004947103,0.0003600093,0.001733919,0.002226354,0.0005207343,0.001713469,0.000368519,0.001453337,0.0004398719,0.01838398,0.9719794,0.0007709404],"study_design_scores_gemma":[0.0006740529,0.0001392149,0.05801711,0.001370867,0.001015004,0.0001658671,0.003054749,0.002249682,0.0004003225,0.000509118,0.9299948,0.002409181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003729004,0.001193139,0.0006671993,0.005785888,0.002296245,0.00183611,0.9842498,0.00008459543,0.0001579707],"genre_scores_gemma":[0.05990256,0.0004023761,0.002224104,0.001068078,0.0003085676,0.0003160368,0.9304377,0.0004856967,0.004854919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07661856,"threshold_uncertainty_score":0.9995607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134573803135423,"score_gpt":0.2824749161905244,"score_spread":0.2711291781591701,"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."}}