{"id":"W6945169185","doi":"10.25318/1010008801-fra","title":"Banques à charte, avoirs à l'exclusion des courtiers en valeurs mobilières, moyenne mensuelle des mercredis","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":"Value (mathematics); Limiting; Blood donor; Quality (philosophy)","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":[0.0008239885,0.001161676,0.001140996,0.006057634,0.001114364,0.002506274,0.001863894,0.0009967948,0.05701042],"category_scores_gemma":[0.008180804,0.0006037594,0.0009914869,0.0157402,0.0004669687,0.001129169,0.001023237,0.001753889,0.03524974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007020819,"about_ca_system_score_gemma":0.0126054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7704821,"about_ca_topic_score_gemma":0.8483587,"domain_scores_codex":[0.9988319,0.0001149249,0.0001544624,0.0002581403,0.0003785045,0.0002620019],"domain_scores_gemma":[0.9942495,0.0008605171,0.000618287,0.0005478785,0.00340596,0.0003177819],"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":[0.0000490335,0.00001271017,0.004035617,0.0003652073,0.00002130837,0.00001176512,0.00004869574,0.0002037904,0.0000335836,0.0008004179,0.9915986,0.002819277],"study_design_scores_gemma":[0.0001089144,0.0000103776,0.04069748,0.0003662733,0.00002468154,0.00002745456,0.0003669166,0.0003003657,0.0002002776,0.0006476308,0.9572108,0.00003881074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002553962,0.00006671495,0.00003617635,0.00007048492,0.00001909551,0.000007492837,0.9982566,0.00006925523,0.001218782],"genre_scores_gemma":[0.001768528,0.0001814207,0.0002953302,0.000048174,0.0000125232,0.00006905663,0.9932613,0.00005002414,0.004313653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2295179,"threshold_uncertainty_score":0.4617392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248103951841278,"score_gpt":0.2690905271435928,"score_spread":0.25660948762518,"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."}}