{"id":"W4206097287","doi":"10.3917/sas.016.0068","title":"Quand le social rencontre le judiciaire : l’exemple du programme social en itinérance à la Cour municipale de Montréal","year":2022,"lang":"fr","type":"article","venue":"Sciences & Actions Sociales","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Sociology","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":[0.002499357,0.0003630084,0.000204614,0.0007008781,0.02050553,0.006680427,0.001771445,0.002329292,0.007693389],"category_scores_gemma":[0.004073369,0.0002143998,0.0002830032,0.001410008,0.01311298,0.00133249,0.004541658,0.002594321,0.0003184419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07987487,"about_ca_system_score_gemma":0.09624831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9482162,"about_ca_topic_score_gemma":0.983453,"domain_scores_codex":[0.9962909,0.001262824,0.00004012087,0.0002744925,0.000591688,0.001539944],"domain_scores_gemma":[0.9976569,0.0003492241,0.0001580698,0.0001096117,0.0004550451,0.001271071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009525198,0.0001730262,0.02334712,0.0002015085,0.00005374229,0.001907528,0.19981,0.002118075,0.002265434,0.6606275,0.03927387,0.07012696],"study_design_scores_gemma":[0.00006332975,0.0001599814,0.06982473,0.0002544652,0.00004957454,0.0001882999,0.1368901,0.001304223,0.0009921604,0.01458219,0.7755847,0.0001062246],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4982453,0.002411384,0.00807481,0.06700841,0.0005372688,0.0005013374,0.0002991169,0.0001366584,0.4227857],"genre_scores_gemma":[0.9319395,0.0003491379,0.001091129,0.001185819,0.00004346685,0.00007708341,0.00003796391,0.00002370326,0.06525223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07987487,"threshold_uncertainty_score":0.5795355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1270040937569048,"score_gpt":0.3382930171638969,"score_spread":0.2112889234069921,"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."}}