{"id":"W6992302509","doi":"","title":"Les dynamiques spatiales de la justice au sein du gouvernement de Montréal : analyse spatiale du recours à la justice criminelle entre parties civiles et militaires dans le fonds d’archives de la Juridiction royale de Montréal, 1740-1755","year":2024,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Context (archaeology)","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":[0.0006491637,0.0002776725,0.0003072825,0.003795393,0.003318183,0.004426077,0.001072097,0.0004398832,0.008720192],"category_scores_gemma":[0.004357381,0.0002980218,0.0004517721,0.0110262,0.003158771,0.001498621,0.002334391,0.0005344322,0.0003444831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0314927,"about_ca_system_score_gemma":0.02060116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867463,"about_ca_topic_score_gemma":0.9926206,"domain_scores_codex":[0.9992071,0.000110162,0.00002629688,0.0001760869,0.0002542887,0.0002260224],"domain_scores_gemma":[0.9981714,0.0004124316,0.000342133,0.00008860596,0.0007792794,0.0002060883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001166817,0.00003641717,0.7839038,0.0003890671,0.000342897,0.0007019456,0.07966856,0.009452343,0.001770184,0.05307765,0.0136417,0.05689866],"study_design_scores_gemma":[0.000003979097,0.00001473666,0.9281059,0.000114365,0.00005713805,0.00004938986,0.03896707,0.001851242,0.0002338196,0.001247753,0.02929963,0.00005497303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483149,0.00214445,0.002213622,0.00411767,0.00003782965,0.00009033086,0.008447724,0.00007561014,0.03455786],"genre_scores_gemma":[0.9875455,0.000676068,0.0007625532,0.00006925056,0.00001177701,0.00003958933,0.001065955,0.00002090074,0.009808335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0314927,"threshold_uncertainty_score":0.2284966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009238644971048104,"score_gpt":0.2216471088294555,"score_spread":0.2124084638584074,"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."}}