{"id":"W6888971288","doi":"10.25318/1710009501-fra","title":"Population vivant dans des Zones d'Influence des régions métropolitaines de recensement et des agglomérations de recensement (ZIM) fortes, proportion de la population totale, Canada, provinces, territoires et régions socio-sanitaires, 1996","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Public health; Community health; Health services","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":[0.0007286887,0.0008874849,0.001030563,0.004406395,0.0008262018,0.001732616,0.001708176,0.0004979598,0.0134653],"category_scores_gemma":[0.005279257,0.0005428231,0.000750428,0.0151233,0.0003671483,0.0006715053,0.0009598232,0.0009543011,0.004476259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01198142,"about_ca_system_score_gemma":0.01921103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9728878,"about_ca_topic_score_gemma":0.9775056,"domain_scores_codex":[0.9994298,0.00004075635,0.00008007509,0.0001316716,0.0001958494,0.0001218804],"domain_scores_gemma":[0.9976648,0.0002911212,0.0002494636,0.0001376213,0.00146269,0.0001941743],"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":[0.000216289,0.0000264641,0.05711527,0.001593057,0.0001947796,0.00005395362,0.0003087605,0.001447439,0.0001157592,0.001131568,0.9284731,0.009323522],"study_design_scores_gemma":[0.0003800507,0.00002140344,0.5448918,0.0008828505,0.0001704222,0.0001057938,0.001157912,0.001239993,0.0004571312,0.0004861331,0.4501348,0.00007168959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000985423,0.000104795,0.00001996625,0.00004451232,0.000006232336,0.00000702188,0.9983063,0.00002784681,0.0004977828],"genre_scores_gemma":[0.006201252,0.0003655237,0.0002402525,0.00003028878,0.000005350082,0.00007056027,0.9910949,0.00001798059,0.001973774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02711225,"threshold_uncertainty_score":0.08693165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010423597126511,"score_gpt":0.2900059702652643,"score_spread":0.2795823731387533,"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."}}