{"id":"W7107969328","doi":"10.25318/1310093101-eng","title":"Premature and potentially avoidable mortality, three-year period, Canada, provinces, territories, health regions (2023 boundaries) and peer groups","year":2025,"lang":"","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Premature birth; Public health; Population; Incidence (geometry); Infant mortality; Epidemiology; MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001714028,0.001447931,0.001674979,0.005173584,0.00206693,0.002836429,0.004259838,0.001239673,0.03162756],"category_scores_gemma":[0.01270518,0.0008583193,0.002157601,0.01308485,0.0006133821,0.00133664,0.001625289,0.00278001,0.007718654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02191928,"about_ca_system_score_gemma":0.05827462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866726,"about_ca_topic_score_gemma":0.9890914,"domain_scores_codex":[0.9982638,0.0001010883,0.0002065251,0.0002502338,0.0006614403,0.0005170339],"domain_scores_gemma":[0.9908765,0.00053476,0.00079463,0.0003737601,0.006359202,0.001061126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009318477,0.00001970663,0.008766187,0.000734804,0.00009088475,0.00001425402,0.00004188259,0.0004016421,0.00001641447,0.0005875613,0.9869711,0.002262342],"study_design_scores_gemma":[0.001159246,0.00006066656,0.2972526,0.003168348,0.0004615711,0.0001820476,0.001025471,0.002108931,0.0002758807,0.001092041,0.6930507,0.0001625247],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002786668,0.0001118639,0.00002163354,0.00008019093,0.00002097633,0.00001860058,0.9990228,0.00003234779,0.0004128898],"genre_scores_gemma":[0.005089086,0.0004482761,0.0003529123,0.0001450742,0.00002256831,0.0001940497,0.9916006,0.00003627637,0.002111127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03162756,"threshold_uncertainty_score":0.1590363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006528006907336901,"score_gpt":0.2594580496434434,"score_spread":0.2529300427361065,"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."}}