{"id":"W3163016813","doi":"10.7202/1076996ar","title":"Livres numériques et bibliothèques publiques en Europe francophone : quelle offre ?","year":2021,"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":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006975713,0.0007182686,0.0008345323,0.01294977,0.00295873,0.01400139,0.001126366,0.001668535,0.04208473],"category_scores_gemma":[0.01740669,0.000505299,0.0007390086,0.02280247,0.002297272,0.01020958,0.002989742,0.002051307,0.009297496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01496063,"about_ca_system_score_gemma":0.0142009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1864351,"about_ca_topic_score_gemma":0.1254039,"domain_scores_codex":[0.9932769,0.0009869216,0.0006036384,0.001011944,0.003277524,0.0008430493],"domain_scores_gemma":[0.9841341,0.002982151,0.001945157,0.001082917,0.008471581,0.001384155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003411804,0.0001007689,0.03513397,0.002073386,0.0001995591,0.0004525992,0.007184897,0.002245697,0.001818446,0.2380721,0.1491793,0.563198],"study_design_scores_gemma":[0.0000189334,0.00005465755,0.03430738,0.0007699634,0.00003844561,0.0002299607,0.002228459,0.0003737294,0.0007227713,0.004847944,0.9563507,0.0000571411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1480294,0.126169,0.02032973,0.0599635,0.005293848,0.0001894061,0.02263168,0.003189604,0.6142038],"genre_scores_gemma":[0.5074392,0.07859571,0.01985006,0.005380007,0.002631062,0.0002524836,0.01658083,0.001554823,0.3677158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1864351,"threshold_uncertainty_score":0.3706999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07323702914078777,"score_gpt":0.3415423864657445,"score_spread":0.2683053573249568,"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."}}