{"id":"W35612546","doi":"10.7202/1029313ar","title":"De l’imprimé au numérique : les défis posés aux bibliothèques collégiales depuis 40 ans","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Sherbrooke","funders":"","keywords":"Humanities; Political science; Art","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009631664,0.0003282486,0.0006959832,0.006927837,0.009188075,0.01285307,0.001227944,0.002181791,0.01659931],"category_scores_gemma":[0.0350047,0.0003348297,0.0004196237,0.008600576,0.007294258,0.008935277,0.005557704,0.003720422,0.003811411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01680552,"about_ca_system_score_gemma":0.01713764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1039867,"about_ca_topic_score_gemma":0.1033371,"domain_scores_codex":[0.991523,0.002164187,0.0006578504,0.001046961,0.003352563,0.001255325],"domain_scores_gemma":[0.9766643,0.006031591,0.004830161,0.001148094,0.007713409,0.003612428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003739843,0.0001689647,0.04711053,0.001054047,0.00005059657,0.0007492898,0.2394387,0.0003657815,0.00134782,0.339353,0.05132595,0.3186613],"study_design_scores_gemma":[0.00002050361,0.00009296546,0.08664668,0.00104677,0.00001747426,0.0004121788,0.0361875,0.0001389146,0.0005093949,0.01414729,0.8607156,0.00006467446],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3479783,0.05399237,0.003951154,0.1204884,0.001640325,0.0001326689,0.002063495,0.0004103604,0.4693428],"genre_scores_gemma":[0.8450695,0.01667917,0.001961366,0.004140025,0.0008350723,0.0001857018,0.0007050285,0.0002125659,0.1302116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9871469,"threshold_uncertainty_score":0.206763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1724429892361983,"score_gpt":0.3743779128473977,"score_spread":0.2019349236111994,"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."}}