{"id":"W3041270232","doi":"10.7202/1070321ar","title":"France Daigle : le roman mode d’emploi","year":2020,"lang":"fr","type":"article","venue":"Francophonies d Amérique","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001738979,0.0004496584,0.0003013929,0.0007903979,0.0100121,0.007019864,0.0006715482,0.002216155,0.009293213],"category_scores_gemma":[0.002064571,0.0002647818,0.0002270901,0.00100431,0.01465563,0.005004957,0.003767699,0.00384563,0.001987534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016033,"about_ca_system_score_gemma":0.003030806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05095607,"about_ca_topic_score_gemma":0.070056,"domain_scores_codex":[0.9979837,0.001121245,0.00003687074,0.0002216587,0.0002212532,0.0004152657],"domain_scores_gemma":[0.9995097,0.0001695846,0.00008052236,0.0000645695,0.00009107019,0.00008458936],"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":[0.00003248538,0.00001352385,0.0008894423,0.00003608797,0.000003479071,0.0004777657,0.1802126,0.0000612969,0.0001555678,0.791097,0.01497441,0.01204635],"study_design_scores_gemma":[0.00001167944,0.00003611499,0.00221261,0.0001545985,0.000005043956,0.0003225593,0.04273121,0.0001030692,0.0002002537,0.01322595,0.9409761,0.00002084124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0951241,0.01080594,0.002440703,0.02818391,0.0004876307,0.00002215892,0.00007872158,0.00008949279,0.8627674],"genre_scores_gemma":[0.8463138,0.002801436,0.0004777066,0.003403268,0.0002531087,0.00002592871,0.00003270768,0.00009056754,0.1466015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9490439,"threshold_uncertainty_score":0.101319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077420732702713,"score_gpt":0.2169989875053546,"score_spread":0.2062247801783275,"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."}}