{"id":"W7071097987","doi":"","title":"Sans différends, point d'harmonie : les règlements de conflit à Montréal aux XVIIe et XVIIIe siècles","year":2011,"lang":"fr","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Medieval and Early Modern Justice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Point (geometry); Government (linguistics); Filter (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002438471,0.0005837097,0.000416404,0.001192766,0.007554713,0.01176368,0.001165523,0.002781539,0.01426154],"category_scores_gemma":[0.004199736,0.0002807632,0.0004983466,0.0009598287,0.02025427,0.007501338,0.004683758,0.007060602,0.001607931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006110331,"about_ca_system_score_gemma":0.004501208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738058,"about_ca_topic_score_gemma":0.02602301,"domain_scores_codex":[0.9970278,0.001447305,0.0000692037,0.0004646899,0.0005422206,0.0004488445],"domain_scores_gemma":[0.9985369,0.0005566101,0.0001603062,0.0001968289,0.000347313,0.0002019055],"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":[0.00002351744,0.00001064514,0.0007065468,0.00005145615,0.000007238526,0.0001393815,0.03088136,0.00008902721,0.0002028542,0.9441482,0.0113703,0.01236953],"study_design_scores_gemma":[0.00001618754,0.00004647282,0.003884129,0.000412633,0.00001655809,0.0003631029,0.03750136,0.0003680363,0.0007614051,0.3100134,0.6465769,0.00003985766],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05878778,0.01735734,0.02055553,0.1017326,0.002975196,0.00006749525,0.000207111,0.00009927746,0.7982177],"genre_scores_gemma":[0.7264416,0.007703402,0.007128903,0.01362822,0.001079115,0.000169958,0.0001654161,0.000243068,0.2434404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9826194,"threshold_uncertainty_score":0.04770964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428047996517125,"score_gpt":0.2070375887920867,"score_spread":0.1927571088269154,"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."}}