{"id":"W6911077158","doi":"10.5169/seals-1007728","title":"Suivre à la trace : responsabilisation et traçabilité dans le suivi hors les murs de jeunes délinquants à Montréal","year":2020,"lang":"fr","type":"article","venue":"E-Periodica","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Context (archaeology); Agency (philosophy)","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":[0.001248224,0.0006452826,0.0004373033,0.002740377,0.003962154,0.002996744,0.002340511,0.000657841,0.006302118],"category_scores_gemma":[0.008396065,0.0003790144,0.0007069178,0.002435143,0.00146067,0.001025481,0.002066793,0.001547834,0.0003560868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02575286,"about_ca_system_score_gemma":0.02935853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883152,"about_ca_topic_score_gemma":0.9931253,"domain_scores_codex":[0.9985046,0.0002526511,0.00005600985,0.0001490424,0.0004907776,0.0005468199],"domain_scores_gemma":[0.9967526,0.0003603045,0.0006277309,0.000102524,0.001485764,0.000671064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001566446,0.0001147023,0.9507413,0.00008021518,0.0001457289,0.0003948616,0.01016076,0.000469154,0.0006266125,0.002181371,0.003393298,0.03153531],"study_design_scores_gemma":[0.000009870643,0.00008920764,0.9764413,0.00006534218,0.0000821151,0.0001320686,0.01336599,0.0006258213,0.0005539451,0.0001461699,0.00845392,0.00003424559],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885095,0.0008568561,0.0004208762,0.001529855,0.0000449431,0.00007500936,0.001467373,0.0000407652,0.00705491],"genre_scores_gemma":[0.9886459,0.000385767,0.0003018385,0.00009213381,0.00001340214,0.00003227103,0.0003348841,0.0000137402,0.01018006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02575286,"threshold_uncertainty_score":0.1868509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699714555792227,"score_gpt":0.3039057667726232,"score_spread":0.2669086212147009,"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."}}