{"id":"W2786410157","doi":"10.4000/books.pum.6666","title":"12. Les mesures réparatrices","year":2010,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; International Centre for Comparative Criminology","funders":"","keywords":"Geography","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":[0.0009982988,0.0004947824,0.0001941987,0.001043412,0.004663168,0.003331668,0.0008516557,0.001835842,0.02604191],"category_scores_gemma":[0.001695546,0.0002176656,0.0003486559,0.0009393042,0.005699243,0.002323438,0.0014801,0.002551636,0.007992965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008765538,"about_ca_system_score_gemma":0.004945582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1383613,"about_ca_topic_score_gemma":0.2008082,"domain_scores_codex":[0.9988509,0.0003338915,0.00003222422,0.0001829599,0.0004211953,0.0001787617],"domain_scores_gemma":[0.9994202,0.0001113274,0.0000403,0.0000695303,0.0003046706,0.00005404862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000291667,0.00001886854,0.0002794618,0.0001140472,0.000005173456,0.0002045503,0.01674042,0.0001784997,0.0005208919,0.7732052,0.1695959,0.03910785],"study_design_scores_gemma":[0.000002014501,0.000006484206,0.000557726,0.00007694669,0.000002156733,0.00005577161,0.0009988392,0.00003588133,0.0001786248,0.006242649,0.9918368,0.000006090012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005478922,0.01005575,0.001844923,0.01112474,0.00156305,0.00003675823,0.0002244438,0.0001081974,0.9695632],"genre_scores_gemma":[0.06016893,0.003481116,0.0007917518,0.002549468,0.000366453,0.00004463796,0.0001069267,0.0001162726,0.9323745],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1383613,"threshold_uncertainty_score":0.2751119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223277220714113,"score_gpt":0.2127599136932059,"score_spread":0.1905271414860648,"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."}}