{"id":"W2998500295","doi":"10.23974/ijol.2019.vol4.2.138","title":"Usage Analysis of University of Manitoba Licensed Databases via EZproxy’s Logs","year":2019,"lang":"en","type":"article","venue":"International Journal of Librarianship","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Vendor; Database; Database transaction; Transaction log; Computer science; Point (geometry); Order (exchange); Resource (disambiguation); World Wide Web; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001334349,0.0002524646,0.0002829471,0.005349813,0.0007997536,0.001697605,0.0006426708,0.0001516074,0.002677886],"category_scores_gemma":[0.005759493,0.000285236,0.0001384603,0.007002274,0.0002946642,0.0009574842,0.0007646077,0.0003849884,0.001631519],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823812,"about_ca_system_score_gemma":0.002300184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1243056,"about_ca_topic_score_gemma":0.1684348,"domain_scores_codex":[0.9988379,0.0002018169,0.0001112774,0.0001502548,0.0006166823,0.00008202436],"domain_scores_gemma":[0.9910728,0.002237836,0.0007761882,0.000958459,0.004628998,0.0003256179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007176428,0.0007588607,0.7213372,0.0003129153,0.00009271209,0.0005625447,0.01206291,0.002213319,0.01908427,0.001460309,0.01509636,0.2263009],"study_design_scores_gemma":[0.00002868792,0.0003554874,0.9144294,0.00007000475,0.00005399497,0.0003903453,0.00730185,0.02195721,0.02886857,0.0002158642,0.02625524,0.00007334385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765514,0.0001227839,0.003056975,0.0001758807,0.000006931032,0.0001940806,0.009994058,0.001820472,0.008077247],"genre_scores_gemma":[0.9633787,0.000393382,0.009090807,0.00007749295,0.00001481879,0.0002386209,0.0155791,0.0002572348,0.01096988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9983024,"threshold_uncertainty_score":0.2471642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350747134937248,"score_gpt":0.2567521560531434,"score_spread":0.2216774425594186,"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."}}