{"id":"W2159891239","doi":"10.7202/029808ar","title":"Le traitement correctionnel fondé sur des données probantes : une recension","year":2009,"lang":"fr","type":"article","venue":"Criminologie","topic":"Psychopathy, Forensic Psychiatry, Sexual Offending","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Habilitation; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006046426,0.0007783378,0.0008013766,0.0004119629,0.000679641,0.0001369444,0.0007205211,0.0007798393,0.0004931312],"category_scores_gemma":[0.0004775723,0.0008166507,0.0003276819,0.0008324884,0.001055829,0.0004478919,0.0001054331,0.0009725936,0.001312888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000366815,"about_ca_system_score_gemma":0.0003259236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196028,"about_ca_topic_score_gemma":0.0008840621,"domain_scores_codex":[0.9949589,0.0005144796,0.00104535,0.00136749,0.0003754599,0.001738352],"domain_scores_gemma":[0.9974371,0.0003490098,0.0004568296,0.001146601,0.0002832996,0.0003272183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004105602,0.00214973,0.0007838614,0.0002246624,0.0001487208,0.0001353359,0.005166322,0.00005385513,0.004947227,0.02767981,0.3530636,0.6052364],"study_design_scores_gemma":[0.008437673,0.007722456,0.2590342,0.003096321,0.0006927365,0.001388252,0.03055676,0.0003647789,0.006204731,0.1318031,0.5480167,0.002682408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5301777,0.04288388,0.00277927,0.05503049,0.3028978,0.00127735,0.00004999437,0.000964566,0.06393895],"genre_scores_gemma":[0.9777836,0.003193479,0.004200844,0.002810671,0.003156177,0.00006129095,0.00006537489,0.0001055,0.008623127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.602554,"threshold_uncertainty_score":0.9994647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3704419664158877,"score_gpt":0.3804180226954295,"score_spread":0.009976056279541734,"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."}}