{"id":"W4389489415","doi":"10.54932/likh8817","title":"Libération conditionnelle, réinsertion sociale et récidive criminelle","year":2023,"lang":"fr","type":"report","venue":"","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval; Université de Montréal","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003575325,0.0008272841,0.0009554788,0.001819974,0.0019288,0.003315902,0.001169937,0.001093361,0.0130828],"category_scores_gemma":[0.01290686,0.0003558834,0.001420329,0.001783429,0.00233595,0.001253321,0.002051613,0.001895536,0.0006403219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005946896,"about_ca_system_score_gemma":0.006283426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4228171,"about_ca_topic_score_gemma":0.4756323,"domain_scores_codex":[0.9978305,0.000722575,0.00008411537,0.0003824507,0.0005455374,0.0004348674],"domain_scores_gemma":[0.9899096,0.005952931,0.001787979,0.0005376004,0.001117485,0.0006943491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007215178,0.0002447861,0.9192902,0.000650643,0.001298932,0.000413702,0.01408492,0.0029555,0.001447424,0.009214041,0.002859237,0.04681906],"study_design_scores_gemma":[0.00001131089,0.0001597821,0.9800271,0.0002432296,0.0002784349,0.0001077596,0.007951137,0.002315489,0.0005231326,0.0009815937,0.007359924,0.00004104069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787345,0.002890535,0.00364909,0.001425001,0.00008588607,0.0001695804,0.00168965,0.00004512724,0.01131068],"genre_scores_gemma":[0.9857734,0.0009653096,0.002031569,0.0001771218,0.00003848852,0.0002458852,0.0007229504,0.00002859144,0.0100167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4228171,"threshold_uncertainty_score":0.840712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1812188730918182,"score_gpt":0.4005004322430079,"score_spread":0.2192815591511896,"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."}}