{"id":"W3135913138","doi":"10.20383/102.0324","title":"Expenditures of CARL member libraries for scholarly resource subscriptions licensed through CRKN for 2019 - 2020 / Dépenses des bibliothèques membres de l'ABRC pour les abonnements aux ressources savantes sous licence du RCDR pour l'année 2019 - 2020","year":2021,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001942488,0.0006881708,0.00116694,0.01623445,0.001797832,0.003861164,0.001949993,0.0007769616,0.06087182],"category_scores_gemma":[0.01823054,0.0006519914,0.0009230351,0.04391202,0.0003200849,0.00204027,0.001669916,0.001338842,0.02475792],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0169241,"about_ca_system_score_gemma":0.03635458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8914455,"about_ca_topic_score_gemma":0.9291134,"domain_scores_codex":[0.9958724,0.0002278879,0.0004733811,0.0004772102,0.002319815,0.0006292354],"domain_scores_gemma":[0.9696512,0.003093099,0.003002878,0.001167348,0.02079386,0.002291645],"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":[0.0001089198,0.00001857515,0.01635244,0.0007134691,0.00008077855,0.00002867657,0.0001471461,0.0003253807,0.0000819199,0.001301145,0.9693632,0.01147832],"study_design_scores_gemma":[0.00005375457,0.00001438765,0.1377804,0.0006285236,0.0001017974,0.00007680508,0.001355465,0.0003918989,0.0004696467,0.0003485206,0.8586919,0.00008675586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001456875,0.0002357407,0.00004758767,0.0002731223,0.00002558047,0.00001931005,0.9922487,0.0001206042,0.005572569],"genre_scores_gemma":[0.00834128,0.001041567,0.0004305062,0.0001607508,0.00003432742,0.00009232515,0.9735368,0.0000890162,0.0162734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9961388,"threshold_uncertainty_score":0.2183877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1033264854853481,"score_gpt":0.3258665598689355,"score_spread":0.2225400743835873,"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."}}