{"id":"W2799756024","doi":"10.20383/101.033","title":"Expenditures of CARL member libraries for scholarly resource subscriptions licensed through CRKN for 2016 - 2017 / Dépenses des bibliothèques membres de l'ABRC pour les abonnements aux ressources savantes sous licence du RCDR pour l'année 2016 - 2017","year":2018,"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":[0.002047531,0.0007175633,0.001203435,0.01686715,0.001870693,0.004232912,0.001815032,0.0006871229,0.04371786],"category_scores_gemma":[0.01904553,0.0006453291,0.0009455532,0.0461783,0.0003769234,0.002296773,0.002024077,0.001252704,0.01748728],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01936934,"about_ca_system_score_gemma":0.03873277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8966886,"about_ca_topic_score_gemma":0.929639,"domain_scores_codex":[0.9947898,0.0002668458,0.0005310873,0.0005245449,0.003151842,0.0007359394],"domain_scores_gemma":[0.9690241,0.003053939,0.003535614,0.001163397,0.02021592,0.003007105],"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":[0.0001920236,0.00002647697,0.03214324,0.0007748253,0.0001265362,0.00004707865,0.0003095626,0.0004527633,0.0001276155,0.001831209,0.9441543,0.01981438],"study_design_scores_gemma":[0.00005246569,0.00001693263,0.1696738,0.0005717152,0.0001135992,0.0001017032,0.002050435,0.0004242859,0.0006219757,0.0003455112,0.8259367,0.00009083579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004394468,0.0005036229,0.00006606856,0.0004921854,0.00004877579,0.00002741077,0.9843289,0.0001965285,0.009942041],"genre_scores_gemma":[0.01764832,0.001911028,0.0004790245,0.0002050693,0.00006528643,0.0001008755,0.9509925,0.0001272646,0.02847071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957671,"threshold_uncertainty_score":0.2078396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1719817526546069,"score_gpt":0.3520656367062645,"score_spread":0.1800838840516576,"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."}}