{"id":"W2945637890","doi":"10.7202/1059160ar","title":"Système de recommandation basé sur les notices bibliographiques MARC 21 : étude de cas à Bibliothèque et Archives nationales du Québec (BAnQ)","year":2019,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0243339,0.001058633,0.001352554,0.01404148,0.005609688,0.008677984,0.002799609,0.001919204,0.0160243],"category_scores_gemma":[0.08551663,0.0009272313,0.0008827072,0.01000079,0.001723062,0.005548001,0.003379019,0.002664969,0.0078749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01456844,"about_ca_system_score_gemma":0.04299174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5854717,"about_ca_topic_score_gemma":0.4870618,"domain_scores_codex":[0.9787967,0.00520137,0.002782465,0.002771902,0.009522726,0.0009247473],"domain_scores_gemma":[0.8687379,0.03195299,0.006661266,0.01603934,0.07226472,0.004343822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001626348,0.0008891472,0.09148747,0.00451448,0.0003471367,0.001612596,0.0216736,0.006503933,0.01690357,0.01131849,0.1953889,0.6477342],"study_design_scores_gemma":[0.0002456466,0.0004267125,0.1025596,0.001444581,0.0003130925,0.0004969728,0.005822054,0.02533995,0.01663491,0.002512798,0.8435227,0.0006810112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3368818,0.00769465,0.1941743,0.0203605,0.002076006,0.01388229,0.08831533,0.1745285,0.1620865],"genre_scores_gemma":[0.4899206,0.003174989,0.2991324,0.001234099,0.0005159008,0.004121808,0.08925582,0.004772911,0.1078717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4145283,"threshold_uncertainty_score":0.833939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07921288662961577,"score_gpt":0.317862698807026,"score_spread":0.2386498121774102,"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."}}