{"id":"W3198106635","doi":"10.7202/1080160ar","title":"Refonte de la Loi sur les archives : point de discordance ou réelle concordance ?","year":2021,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02939135,0.0003847299,0.001150076,0.0056115,0.01453075,0.02125963,0.004440078,0.002682378,0.01009821],"category_scores_gemma":[0.07658801,0.0006445343,0.0003988979,0.009607252,0.0302495,0.01216407,0.008332488,0.005679793,0.001014827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05609259,"about_ca_system_score_gemma":0.05955787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5657641,"about_ca_topic_score_gemma":0.6300917,"domain_scores_codex":[0.9611051,0.01662273,0.001973887,0.004715704,0.01165494,0.003927751],"domain_scores_gemma":[0.9347863,0.02774844,0.007582,0.007473684,0.01945422,0.002955266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005968124,0.00002265858,0.01568834,0.0003551176,0.00004193381,0.0006228021,0.571815,0.0001528373,0.0003072761,0.3612274,0.01042738,0.0392797],"study_design_scores_gemma":[0.00002137665,0.00003043196,0.0668979,0.002402586,0.00006508324,0.0004330266,0.5623834,0.0005174333,0.000804267,0.04159589,0.3247108,0.0001378067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3336691,0.01030575,0.01221256,0.1266309,0.0009415174,0.0002812457,0.001147291,0.000192678,0.5146189],"genre_scores_gemma":[0.9667736,0.001430862,0.001635243,0.004293625,0.0001866094,0.00009945896,0.0002176321,0.0001411559,0.0252218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9787404,"threshold_uncertainty_score":0.8735865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036903238263885,"score_gpt":0.3574767942753308,"score_spread":0.2537864704489423,"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."}}