{"id":"W1975112335","doi":"10.7202/017199ar","title":"Politique institutionnelle de libération : identification des individus dangereux. Une revue de la littérature","year":2005,"lang":"en","type":"article","venue":"Criminologie","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut national de psychiatrie légale Philippe-Pinel","funders":"","keywords":"Identification (biology); Criminology; Psychology; Sociology; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006874766,0.00008832973,0.0001000967,0.0001442316,0.0008733285,0.0001865357,0.0002345938,0.0002509716,0.00007948446],"category_scores_gemma":[0.001101335,0.00009457747,0.00007591017,0.0005285265,0.0004930095,0.0003466395,0.00003056381,0.0002152877,0.00006328551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005124102,"about_ca_system_score_gemma":0.000341003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004985757,"about_ca_topic_score_gemma":0.01653174,"domain_scores_codex":[0.9988958,0.0002840959,0.0001805461,0.0001984839,0.0001195227,0.0003215886],"domain_scores_gemma":[0.9993074,0.0001912173,0.00008273951,0.0001940567,0.0001310076,0.00009355922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001447832,0.0002239045,0.006390856,0.00004916703,0.00005173885,0.00001792549,0.07720602,0.001036524,0.002915336,0.2173707,0.0009817986,0.6937416],"study_design_scores_gemma":[0.0004081355,0.00009853447,0.1753566,0.000181044,0.001448437,0.00006632935,0.5985829,0.001476631,0.01378718,0.0711105,0.1367456,0.0007380276],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624406,0.0006465819,0.01298518,0.003762914,0.000135914,0.0001002367,0.000003735985,0.0001987398,0.01972612],"genre_scores_gemma":[0.994173,0.002005768,0.001794155,0.0002125957,0.0007225417,0.00003830997,0.00001905767,0.00000683744,0.001027666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6930035,"threshold_uncertainty_score":0.9225101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1420660370420433,"score_gpt":0.3858471760672679,"score_spread":0.2437811390252246,"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."}}