{"id":"W4400684508","doi":"10.3917/i2d.241.0112","title":"Entre Bibliosuisse et l’ADBS, un partenariat précieux","year":2024,"lang":"fr","type":"article","venue":"I2D - Information données & documents","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01307398,0.0006670191,0.0007696064,0.006284248,0.01127207,0.02953729,0.001152345,0.004114896,0.01770048],"category_scores_gemma":[0.02926176,0.0005546458,0.0005363009,0.01761072,0.01925862,0.01886806,0.01180069,0.006801851,0.003284264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02169285,"about_ca_system_score_gemma":0.02575799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05441254,"about_ca_topic_score_gemma":0.07144524,"domain_scores_codex":[0.9768835,0.01217922,0.001274431,0.002595182,0.005611963,0.001455604],"domain_scores_gemma":[0.9649056,0.01885971,0.003673798,0.002661689,0.005513967,0.004385289],"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":[0.0001130803,0.00004161943,0.003841407,0.0008282663,0.00003829535,0.0005642992,0.1116739,0.0001653488,0.0006674572,0.7529741,0.03629015,0.09280208],"study_design_scores_gemma":[0.000006481006,0.00001644822,0.002297571,0.0006857068,0.00001164508,0.0002870082,0.01972108,0.00004945665,0.0002998057,0.01263595,0.9639582,0.00003065795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03888978,0.109128,0.01948306,0.1535281,0.007844906,0.0001373038,0.001007804,0.0004305959,0.6695505],"genre_scores_gemma":[0.627244,0.06264453,0.01675688,0.01627933,0.004157747,0.0003002394,0.0009536048,0.0008294264,0.2708343],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05441254,"threshold_uncertainty_score":0.1573933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218034360719439,"score_gpt":0.3148830180485206,"score_spread":0.1930795819765767,"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."}}