{"id":"W6945117186","doi":"10.25318/1310011001-eng","title":"Infant and perinatal mortality, by sex, three-year average, Canada, provinces, territories, census metropolitan areas and metropolitan influence zones","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Table (database); Demographic analysis; Confidence interval; Perinatal mortality","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":[0.0009241165,0.001321835,0.001533551,0.006235595,0.001347374,0.002342868,0.00243289,0.0007931159,0.05512853],"category_scores_gemma":[0.009665642,0.000802908,0.001081761,0.02309549,0.0003910841,0.001059834,0.001172769,0.001729043,0.02994071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01298701,"about_ca_system_score_gemma":0.03038168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9482763,"about_ca_topic_score_gemma":0.9522431,"domain_scores_codex":[0.9984509,0.0000693075,0.0002063561,0.0002808922,0.0006556626,0.0003368263],"domain_scores_gemma":[0.9931987,0.0005989927,0.0005321177,0.0005157065,0.004582139,0.0005724111],"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":[0.00003005863,0.00001213317,0.004442505,0.0002711111,0.00002878982,0.00001024524,0.00002658949,0.0001882242,0.00001857466,0.0003102304,0.9922232,0.002438175],"study_design_scores_gemma":[0.0002161133,0.00001854685,0.1138139,0.000785206,0.0000805999,0.00007291469,0.0004213329,0.0006240944,0.0002177657,0.0005049466,0.8831838,0.0000606564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001442441,0.0000356019,0.00001345206,0.00002927971,0.000007885032,0.000006469234,0.9992748,0.00003024095,0.000458031],"genre_scores_gemma":[0.001010739,0.0001556374,0.0001296979,0.00004225713,0.000006076168,0.00005955761,0.9966799,0.00002943349,0.00188663],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05512853,"threshold_uncertainty_score":0.1844233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006786724190739726,"score_gpt":0.2610130037452021,"score_spread":0.2542262795544624,"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."}}