{"id":"W2980166406","doi":"10.20383/101.0187","title":"Expenditures of CARL member libraries for scholarly resource subscriptions licensed through CRKN for 2018 - 2019 / Dépenses des bibliothèques membres de l'ABRC pour les abonnements aux ressources savantes sous licence du RCDR pour l'année 2018 - 2019","year":2019,"lang":"fr","type":"article","venue":"Open MIND","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"License; Library science; Political science; Documentation; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.001637963,0.000697148,0.0009941215,0.0007814308,0.001540623,0.01293728,0.004884221,0.0004449441,0.002008112],"category_scores_gemma":[0.0005581369,0.0006264122,0.0004102407,0.00125383,0.001034753,0.06328439,0.001180238,0.0003192521,0.0008671084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123546,"about_ca_system_score_gemma":0.001616653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00244247,"about_ca_topic_score_gemma":0.0001902964,"domain_scores_codex":[0.9946215,0.0004167118,0.001568387,0.001169532,0.0008865003,0.001337436],"domain_scores_gemma":[0.9946448,0.001512899,0.001322746,0.001362153,0.0008058146,0.0003516351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005463337,0.0005065721,0.02183576,0.0005415666,0.0003069075,0.000006680623,0.07838304,0.0006179186,0.02166546,0.008468164,0.8619086,0.005212979],"study_design_scores_gemma":[0.002463611,0.0009997499,0.005299804,0.00152002,0.00008033147,0.0000765705,0.03016086,0.006784144,0.1209685,0.002598901,0.8280266,0.001020973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8906473,0.0203582,0.0437356,0.01196706,0.003311341,0.005945023,0.00211417,0.00009433612,0.02182695],"genre_scores_gemma":[0.4572386,0.003120417,0.282509,0.002387339,0.002020071,0.0004873926,0.0003634919,0.000186453,0.2516872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4334086,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110708895456899,"score_gpt":0.3225373162118195,"score_spread":0.2118284207549205,"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."}}