{"id":"W2583055336","doi":"10.4000/perspective.6826","title":"Bibliothèques de musées, bibliothèques universitaires : des collections au service de l’histoire de l’art","year":2016,"lang":"fr","type":"article","venue":"Perspective","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec; Musée de la Civilisation","funders":"","keywords":"Reading (process); Library science; Art; Humanities; Visual arts; Art history; Political science; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003519589,0.0002815674,0.0003105853,0.0009952199,0.004664312,0.0003537116,0.000385233,0.0002280948,0.002241744],"category_scores_gemma":[0.0005080309,0.0002271626,0.0002194616,0.009253786,0.002295115,0.001968454,0.0001517136,0.0001945902,0.0003416528],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02340368,"about_ca_system_score_gemma":0.001306225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2422504,"about_ca_topic_score_gemma":0.1917596,"domain_scores_codex":[0.9976677,0.0003842118,0.0001506338,0.0004528648,0.0003246609,0.001019978],"domain_scores_gemma":[0.9980198,0.0004196385,0.000113941,0.0001397536,0.0008521121,0.0004547417],"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":[0.00009998187,0.000379961,0.009649243,0.00005444957,0.0003632796,0.00006563933,0.1302026,0.000008390514,0.0007489005,0.4589187,0.39569,0.003818956],"study_design_scores_gemma":[0.0003932474,0.0001773047,0.008242941,0.0002210924,0.0002033995,0.00001474001,0.1147474,0.000009746846,0.0001377665,0.04371816,0.8317354,0.0003987465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01926907,0.0249107,0.000561122,0.1064189,0.001003202,0.0002373025,0.0001309071,0.0003036465,0.8471651],"genre_scores_gemma":[0.5292602,0.03825466,0.001214417,0.0007342832,0.001061381,0.00003014789,0.00000115318,0.00003047318,0.4294133],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5099911,"threshold_uncertainty_score":0.9986703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04596706952694329,"score_gpt":0.2873502397777226,"score_spread":0.2413831702507793,"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."}}