{"id":"W64263394","doi":"10.7202/1033028ar","title":"Des indicateurs universels de performance des bibliothèques","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Psychology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01592915,0.001722199,0.001214363,0.02286456,0.002699562,0.01561072,0.001622225,0.00138475,0.008565122],"category_scores_gemma":[0.1071296,0.0009203465,0.001292955,0.02425628,0.002138881,0.009288693,0.002671815,0.002561825,0.003409057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00805829,"about_ca_system_score_gemma":0.006810979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08692433,"about_ca_topic_score_gemma":0.06095576,"domain_scores_codex":[0.9464082,0.009204808,0.005175969,0.006075477,0.03151132,0.001624206],"domain_scores_gemma":[0.8676374,0.05810042,0.009858066,0.01233948,0.05081488,0.001249823],"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":[0.001639327,0.0002237278,0.1084541,0.005230052,0.001058152,0.0007426282,0.01260068,0.02305412,0.0208131,0.1407525,0.03964477,0.6457868],"study_design_scores_gemma":[0.0001756313,0.0004468938,0.2471867,0.00280825,0.0008935934,0.001985692,0.01037478,0.07167459,0.06638508,0.05741202,0.5398917,0.0007650668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3349651,0.01458964,0.320763,0.0072488,0.0009761617,0.0008054088,0.06385903,0.02102752,0.2357652],"genre_scores_gemma":[0.7511829,0.005704194,0.1762821,0.0004102842,0.0004894768,0.0009294163,0.03974246,0.002482845,0.02277637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9771354,"threshold_uncertainty_score":0.1728367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06501389239581241,"score_gpt":0.3012954160430135,"score_spread":0.2362815236472011,"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."}}