{"id":"W6981604123","doi":"","title":"Étude d'un corpus de dossiers de la cour juvénile de winnipeg à l'aide du système d'analyse de textes par ordinateur (sato)§","year":2008,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"History of Medical Practice","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Context (archaeology); Linguistic analysis; History of English","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":[0.002552792,0.0005079444,0.0005040343,0.008945337,0.002747937,0.002425946,0.0009237948,0.0005671697,0.004671621],"category_scores_gemma":[0.01692767,0.0004228302,0.0002101506,0.01088396,0.001682017,0.0008983479,0.002084617,0.0005190644,0.0007956124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00873577,"about_ca_system_score_gemma":0.01214521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7306502,"about_ca_topic_score_gemma":0.8300043,"domain_scores_codex":[0.9975127,0.0006388401,0.0002662338,0.0005580281,0.0008703376,0.000153899],"domain_scores_gemma":[0.9878043,0.00642089,0.001084876,0.000836262,0.003582089,0.000271574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004309015,0.0001090984,0.0654034,0.003368818,0.0001695896,0.006406811,0.269791,0.002258713,0.05269438,0.01567699,0.04566522,0.5380251],"study_design_scores_gemma":[0.00003696291,0.00005312532,0.2429822,0.0006839868,0.0001222082,0.001046714,0.04172129,0.002154586,0.01291197,0.001257619,0.6969248,0.0001044688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8465294,0.005994233,0.03068224,0.002866647,0.0003589228,0.001885383,0.06453896,0.001043611,0.04610064],"genre_scores_gemma":[0.8012238,0.004452113,0.1011006,0.0003684866,0.0001122192,0.001506413,0.04881177,0.0006275818,0.04179703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2693498,"threshold_uncertainty_score":0.541872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008746903372531268,"score_gpt":0.2266929001896535,"score_spread":0.2179459968171223,"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."}}