{"id":"W2297162379","doi":"10.18438/b8f918","title":"Library Website Visits and Enrollment Trends","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Web and Library Services","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Data collection; Variance (accounting); Metric (unit); Statistics; Demography; Psychology; Accounting; Business; Mathematics; Marketing; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001284198,0.0001189199,0.0001546094,0.001303526,0.0002445131,0.001036517,0.0003701575,0.0003093191,0.009681246],"category_scores_gemma":[0.00646859,0.0001832282,0.0003515904,0.002412342,0.0001979198,0.0008793573,0.0005643086,0.0005916418,0.001444032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290825,"about_ca_system_score_gemma":0.0006656386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03279669,"about_ca_topic_score_gemma":0.04040058,"domain_scores_codex":[0.998605,0.0003156909,0.0001448484,0.0003632682,0.0004113264,0.0001599442],"domain_scores_gemma":[0.9903217,0.002222287,0.003964636,0.0006243357,0.002262037,0.0006050052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000971825,0.00009260033,0.9867001,0.00002501777,0.00003224808,0.00001986354,0.000284763,0.0003628172,0.0004108059,0.0001293203,0.001261321,0.01058402],"study_design_scores_gemma":[0.0000016343,0.00005443276,0.9981374,0.000005849829,0.000008454974,0.0000187662,0.0002379251,0.0004348769,0.0001905864,0.00001959267,0.0008859753,0.000004390538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890488,0.000104205,0.0004606415,0.0002436534,0.00001004516,0.00003267402,0.004809727,0.00005473914,0.005235342],"genre_scores_gemma":[0.9908577,0.00008217286,0.0004196849,0.00006391699,0.0000200075,0.00005728357,0.004133341,0.00001643335,0.004349524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03279669,"threshold_uncertainty_score":0.06521159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007403460722182125,"score_gpt":0.2173815067099693,"score_spread":0.2099780459877871,"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."}}