{"id":"W2432609838","doi":"10.18438/b8rh0r","title":"Patron Time-Use May Be an Effective Metric for Presenting Library Value to Policy Makers","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metric (unit); Loan; Computer science; Statistics; Operations management; Mathematics; Business; Engineering; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02478044,0.0008061089,0.0006869383,0.007045445,0.001742118,0.01111011,0.001324165,0.001339108,0.01506842],"category_scores_gemma":[0.1090038,0.0003975798,0.0008666955,0.01180642,0.001666744,0.01309127,0.004177395,0.001239888,0.001968844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006014726,"about_ca_system_score_gemma":0.003407833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005186698,"about_ca_topic_score_gemma":0.007340338,"domain_scores_codex":[0.9754983,0.01461375,0.002171621,0.001031484,0.005663794,0.001021149],"domain_scores_gemma":[0.918047,0.04741353,0.01210763,0.003531552,0.01559415,0.003306207],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001746354,0.001319251,0.4999304,0.002125395,0.0005471797,0.0002571064,0.01225499,0.007405181,0.001991838,0.04493032,0.03320405,0.3942879],"study_design_scores_gemma":[0.0001883735,0.003337839,0.720619,0.002178316,0.0002968056,0.0003063414,0.05895941,0.02485513,0.007350211,0.03812883,0.1431697,0.0006100844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7636212,0.002540499,0.04762146,0.0118479,0.0005989376,0.001106029,0.006570726,0.0007624,0.1653309],"genre_scores_gemma":[0.9757111,0.0004281806,0.01826452,0.0003386939,0.0001572085,0.0006360171,0.0008176031,0.0001025524,0.003544063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9752195,"threshold_uncertainty_score":0.131053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04082384028947673,"score_gpt":0.2490507775551029,"score_spread":0.2082269372656261,"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."}}