{"id":"W4394889164","doi":"10.1515/9782760645264","title":"Profilages policiers","year":2022,"lang":"fr","type":"book","venue":"Les Presses de l'Université de Montréal eBooks","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001128975,0.0006123325,0.0002042242,0.001722106,0.007264243,0.004113874,0.0007808093,0.001046304,0.04042823],"category_scores_gemma":[0.003097013,0.0003741749,0.0002573078,0.001761124,0.002869784,0.001690124,0.003113481,0.001351449,0.008228308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007117613,"about_ca_system_score_gemma":0.01476037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1767175,"about_ca_topic_score_gemma":0.4013963,"domain_scores_codex":[0.9977667,0.0004941128,0.00004926093,0.0001467173,0.0007922436,0.0007509321],"domain_scores_gemma":[0.9982007,0.0002344916,0.0002545042,0.0001089488,0.0005328621,0.0006685244],"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":[0.00006017349,0.00009016836,0.01976589,0.0004138226,0.00001228047,0.0009205618,0.1045957,0.0002362599,0.0006490636,0.08590288,0.4722348,0.3151184],"study_design_scores_gemma":[0.000004161347,0.00003298812,0.01364211,0.0001922856,0.000002633092,0.0004216596,0.01556914,0.00004408547,0.00007937072,0.0009740869,0.9690277,0.000009794627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09286833,0.01984145,0.001221316,0.03245357,0.001969027,0.0001929272,0.0004817752,0.0003249302,0.8506468],"genre_scores_gemma":[0.1871291,0.01309402,0.001159792,0.002366891,0.0005516445,0.00008823528,0.0002758782,0.000113567,0.7952209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1767175,"threshold_uncertainty_score":0.3513777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04036407148484121,"score_gpt":0.3155118745972367,"score_spread":0.2751478031123955,"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."}}