{"id":"W7058644666","doi":"","title":"Nos coutumes, les meilleures. Québec : Duplessis et après… de Denys Arcand","year":2024,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Face (sociological concept); Subject (documents); Ridiculous","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":[0.0009670831,0.0008275731,0.0003909399,0.0009138088,0.008104149,0.003290117,0.0007091181,0.001444287,0.04778577],"category_scores_gemma":[0.001523368,0.000499081,0.0003947534,0.001334339,0.002085574,0.001436273,0.001137244,0.003181091,0.003643376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03309066,"about_ca_system_score_gemma":0.02138697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9700437,"about_ca_topic_score_gemma":0.9923799,"domain_scores_codex":[0.9991242,0.0001503922,0.00002440975,0.0001817285,0.0003295329,0.000189725],"domain_scores_gemma":[0.9991984,0.0000973435,0.00005306651,0.0000249136,0.000424362,0.0002018057],"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":[0.0008472592,0.0002398786,0.03301574,0.0007231748,0.0001302644,0.003965354,0.02934052,0.001316931,0.01130306,0.0615104,0.542179,0.3154285],"study_design_scores_gemma":[0.0000160137,0.00003083115,0.02473178,0.0001388324,0.00001337962,0.0001480831,0.005149889,0.0001169974,0.0009997737,0.0004292031,0.9681901,0.00003513768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2213084,0.1104585,0.007565293,0.1854336,0.02111227,0.0004387953,0.007770022,0.0006957066,0.4452175],"genre_scores_gemma":[0.120367,0.008734859,0.001752892,0.002803516,0.000354216,0.00004732686,0.000417154,0.0001455436,0.8653774],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04778577,"threshold_uncertainty_score":0.2400907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00672491971738621,"score_gpt":0.1679853415765924,"score_spread":0.1612604218592062,"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."}}