{"id":"W4254397139","doi":"10.1080/00987913.2010.10765287","title":"Measuring the Use of Networked Electronic Journals in an Academic Library Consortium: Moving beyond MINES for Libraries® in Ontario Scholars Portal","year":2010,"lang":"en","type":"article","venue":"Serials Review","topic":"Web and Library Services","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Academic library; Service (business); World Wide Web; Library science; Business; Accountability; Computer science; Political science; Accounting; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.01650803,0.0002015423,0.000509774,0.01174158,0.001666731,0.003737415,0.001207201,0.0003349826,0.00107261],"category_scores_gemma":[0.04885612,0.0002585248,0.0002761582,0.02102388,0.001432425,0.001718746,0.002395656,0.0003427635,0.0003506712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02111934,"about_ca_system_score_gemma":0.02856858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7335093,"about_ca_topic_score_gemma":0.8869774,"domain_scores_codex":[0.9781798,0.003859018,0.001287481,0.000841199,0.01510221,0.0007303141],"domain_scores_gemma":[0.8904937,0.01950552,0.02079715,0.002659878,0.0624775,0.004066275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085717,0.0001265313,0.8438027,0.0005007369,0.0001014156,0.0001718392,0.01687088,0.0003954176,0.001324595,0.000899575,0.003998584,0.1316991],"study_design_scores_gemma":[0.000008359141,0.0001159514,0.9809774,0.00009734768,0.00005675447,0.00005005488,0.008657056,0.0005629516,0.0007269055,0.00005988055,0.008663126,0.00002417147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771351,0.001458587,0.0006038396,0.0008426133,0.00001868558,0.0002237902,0.001002923,0.0000260182,0.01868852],"genre_scores_gemma":[0.9902093,0.00168592,0.00151574,0.000121461,0.00005287928,0.0001431406,0.000751538,0.00001880099,0.00550122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2664907,"threshold_uncertainty_score":0.5361202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07067347150726794,"score_gpt":0.2758384240028315,"score_spread":0.2051649524955636,"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."}}