{"id":"W1863932014","doi":"","title":"1936. Maurice Duplessis entre en scène","year":2003,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; University of Ottawa; Université de Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007965155,0.001319512,0.0005476413,0.002086059,0.006225459,0.002959477,0.0007427598,0.002402167,0.04477392],"category_scores_gemma":[0.002397664,0.000435461,0.0003069469,0.001596021,0.005360133,0.003396333,0.001991891,0.003396724,0.01703842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005684963,"about_ca_system_score_gemma":0.002564331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.114683,"about_ca_topic_score_gemma":0.272808,"domain_scores_codex":[0.9993825,0.0001892868,0.00002726425,0.0001442268,0.0001837732,0.00007285688],"domain_scores_gemma":[0.9994165,0.0001869935,0.00004787328,0.00004669523,0.0002200622,0.00008186628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008688668,0.00001773464,0.0004846475,0.0001393139,0.00001274431,0.0002953573,0.005638655,0.00008207803,0.0002113509,0.1432834,0.7850187,0.06472909],"study_design_scores_gemma":[0.000003508153,0.000004025406,0.0002477414,0.00007958847,0.000001906277,0.0001190797,0.00048521,0.00001288701,0.0001100991,0.003432652,0.9954986,0.000004614807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003911969,0.2726619,0.002915591,0.08432662,0.01976575,0.00005599331,0.001008267,0.0003365137,0.6150174],"genre_scores_gemma":[0.06774948,0.04641932,0.001254202,0.01019144,0.003751799,0.00004891822,0.0002511203,0.0003154053,0.8700183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.885317,"threshold_uncertainty_score":0.2280309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463651002390564,"score_gpt":0.192567780422446,"score_spread":0.1579312703985404,"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."}}