{"id":"W6964018365","doi":"10.25318/1310040801-eng","title":"Infant and perinatal mortality, by sex, three-year average, Canada, provinces, territories, census metropolitan areas and metropolitan influence zones, 2000/2002 - 2005/2007","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":"Metropolitan area; Census; Urban agglomeration; Perinatal mortality; Infant 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":[0.001194595,0.001509005,0.001775334,0.006604547,0.001895944,0.002036865,0.003871739,0.0008563469,0.02018125],"category_scores_gemma":[0.00757466,0.001060203,0.001697469,0.02335908,0.0004170201,0.00100232,0.001193457,0.002182025,0.007059689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02798533,"about_ca_system_score_gemma":0.06924931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936793,"about_ca_topic_score_gemma":0.9942104,"domain_scores_codex":[0.9981624,0.00007531306,0.0002473309,0.0002437192,0.0007916015,0.0004794566],"domain_scores_gemma":[0.9919075,0.0003233476,0.0005462933,0.0002711239,0.006232395,0.0007192984],"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":[0.0001307857,0.00003832638,0.01746626,0.0009775315,0.0001482969,0.00003029967,0.00009041576,0.0005981197,0.00004520492,0.0006032637,0.9750857,0.00478575],"study_design_scores_gemma":[0.0005950315,0.00004281355,0.496908,0.00175468,0.000342872,0.0001629492,0.0008421273,0.001719467,0.0005070505,0.0004353489,0.4965709,0.0001186657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00050869,0.0001150988,0.00002592515,0.00004645873,0.00001381756,0.00001861085,0.9986809,0.00004100114,0.0005494945],"genre_scores_gemma":[0.004313259,0.0005741832,0.0003287269,0.00009858141,0.00001224799,0.0001645025,0.9913929,0.00003851556,0.003077088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02798533,"threshold_uncertainty_score":0.2030488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006511751836607042,"score_gpt":0.2564598060933782,"score_spread":0.2499480542567712,"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."}}