{"id":"W6907862006","doi":"10.25318/3510017701-fra","title":"Statistiques des crimes fondés sur l'affaire, par infractions détaillées, Canada, provinces, territoires, régions métropolitaines de recensement et Police militaire des Forces canadiennes","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":"Legislation; Context (archaeology); Human rights; Poison control","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":[0.001232071,0.001686523,0.001721841,0.006368412,0.001562084,0.002785321,0.003050419,0.001336967,0.034524],"category_scores_gemma":[0.01155399,0.001086451,0.001476071,0.02076188,0.0005793107,0.001071373,0.001168816,0.002627122,0.01796824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02059135,"about_ca_system_score_gemma":0.05005318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9785305,"about_ca_topic_score_gemma":0.9782427,"domain_scores_codex":[0.9983879,0.0001071881,0.0002184724,0.0002555751,0.0006502233,0.0003805842],"domain_scores_gemma":[0.9900771,0.001114842,0.0007063561,0.0005673851,0.006863277,0.0006709557],"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":[0.00005481027,0.00001794377,0.005337195,0.0003465946,0.00004875944,0.00001356072,0.00003694552,0.0003653915,0.00002175803,0.0004718773,0.9915437,0.001741601],"study_design_scores_gemma":[0.0006371291,0.00002263053,0.1404732,0.0008075321,0.000119113,0.0000763986,0.0005462488,0.001360732,0.0003054546,0.0008314791,0.8547162,0.000103841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001242073,0.0000340539,0.00001079491,0.00005360155,0.000009222907,0.000006047244,0.9994503,0.00003120748,0.0002806459],"genre_scores_gemma":[0.001054276,0.0001205198,0.0001352745,0.00004072813,0.000007316518,0.00005993148,0.9970466,0.00002273168,0.001512627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.034524,"threshold_uncertainty_score":0.1494014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197184340690027,"score_gpt":0.2863988110037561,"score_spread":0.2744269675968559,"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."}}