{"id":"W2980619507","doi":"10.20383/101.0186","title":"Expenditures of CARL member libraries for scholarly resource subscriptions licensed through CRKN for 2017 - 2018 / Dépenses des bibliothèques membres de l'ABRC pour les abonnements aux ressources savantes sous licence du RCDR pour l'année 2017 - 2018","year":2019,"lang":"fr","type":"article","venue":"Federated Research Data Repository","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002617178,0.0007601866,0.001389628,0.02005708,0.002071356,0.004643647,0.002101734,0.0007937492,0.04531281],"category_scores_gemma":[0.02353921,0.0006741121,0.0009542138,0.05579234,0.0004053649,0.002253643,0.002018235,0.001366936,0.02242765],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02021894,"about_ca_system_score_gemma":0.04443086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8807607,"about_ca_topic_score_gemma":0.9145666,"domain_scores_codex":[0.9930938,0.0003610573,0.0007515713,0.0006977265,0.004154916,0.0009409495],"domain_scores_gemma":[0.9584159,0.004183861,0.004134954,0.001716079,0.02832698,0.003222281],"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":[0.0001426244,0.00002189301,0.01900893,0.000634442,0.00009289255,0.00003318687,0.0002080579,0.0002919736,0.0001022801,0.001568391,0.9637695,0.01412584],"study_design_scores_gemma":[0.00005085316,0.00001419588,0.1210401,0.0005161879,0.0001008056,0.00008156071,0.001572113,0.0003511603,0.0005817987,0.000320634,0.8752885,0.00008221812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002244078,0.0003078452,0.00005525849,0.0003368002,0.00003390509,0.00002460227,0.9898714,0.0001792176,0.006946949],"genre_scores_gemma":[0.009528606,0.001151417,0.0004319301,0.0001514869,0.0000427685,0.00009974206,0.9711967,0.0001108703,0.01728655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9953564,"threshold_uncertainty_score":0.2398829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2820086136008243,"score_gpt":0.3856223927449813,"score_spread":0.103613779144157,"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."}}