{"id":"W6996602148","doi":"","title":"Sévérité des sanctions et récidive criminelle : identification au moyen d'une reforme canadienne","year":2022,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Sanctions; Population; Evasion (ethics)","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":[0.003246752,0.0002696868,0.0005743505,0.002337879,0.001689673,0.003057145,0.001038821,0.0008475113,0.00803581],"category_scores_gemma":[0.01405973,0.0002762269,0.0005151437,0.003836744,0.002584429,0.001288414,0.002349152,0.002348416,0.0003968142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01301413,"about_ca_system_score_gemma":0.01134312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3907292,"about_ca_topic_score_gemma":0.4800049,"domain_scores_codex":[0.9978541,0.000477214,0.00007013264,0.0002166133,0.0005168547,0.0008650992],"domain_scores_gemma":[0.9891968,0.002312443,0.004014927,0.0004712519,0.001688729,0.002315784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003013349,0.0003526144,0.8513609,0.0003919092,0.000297906,0.0003505949,0.01799418,0.003158762,0.0004603584,0.0449458,0.006097971,0.07428773],"study_design_scores_gemma":[0.00001841758,0.0001581373,0.9666444,0.0002503633,0.0001202831,0.00006250601,0.006203559,0.0008111776,0.0002808995,0.001228624,0.0241856,0.00003611762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550239,0.005313541,0.0009339933,0.01394957,0.0001154732,0.00008960057,0.0008519842,0.00003088839,0.02369109],"genre_scores_gemma":[0.9910458,0.0014062,0.000359457,0.000453602,0.000076799,0.00006392742,0.0003573812,0.00001182173,0.006225069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6092708,"threshold_uncertainty_score":0.7769098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450440259425001,"score_gpt":0.2005077625191718,"score_spread":0.1860033599249218,"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."}}