{"id":"W1591371979","doi":"10.1108/lm-09-2014-0110","title":"Quantifying patron time-use of a public library","year":2015,"lang":"en","type":"article","venue":"Library Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; Positive Living North; Kwantlen Polytechnic University","funders":"","keywords":"Originality; Value (mathematics); Computer science; Valuation (finance); Library classification; Business; Operations research; Library science; Marketing; Sociology; Engineering; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001807818,0.0001123064,0.0002176104,0.0002078937,0.00002892505,0.0001237224,0.0002063391,0.00004529454,0.002243301],"category_scores_gemma":[0.000005946202,0.000133832,0.00007354332,0.0001463929,0.00003531207,0.003287771,0.000301689,0.00005027937,0.002244223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002674764,"about_ca_system_score_gemma":0.000006692753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001588467,"about_ca_topic_score_gemma":3.560646e-7,"domain_scores_codex":[0.9990089,0.00002220705,0.0004609387,0.0002809931,0.00003467943,0.0001923141],"domain_scores_gemma":[0.9993288,0.0000177651,0.0002293533,0.000320124,0.000001261568,0.0001027185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001148256,0.0001093107,0.7030172,0.00004201025,0.00007839463,0.00000299168,0.0001252381,0.0002857395,0.000002230826,0.2576101,0.03548444,0.003230858],"study_design_scores_gemma":[0.001099062,0.0001341194,0.3942257,0.00002787651,0.00001552941,0.000001162018,0.0002378971,0.009883793,0.0001507876,0.02526182,0.5685369,0.0004253573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7660629,0.0009269612,0.001191441,0.001696701,0.0003056294,0.0003812307,0.00009806143,0.0001492907,0.2291878],"genre_scores_gemma":[0.9634064,0.0004047813,0.009310407,0.0005728049,0.00005860845,0.00002451443,0.0002088396,0.00004445637,0.0259692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5330524,"threshold_uncertainty_score":0.9986688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2651106527166937,"score_gpt":0.2122919074912028,"score_spread":0.05281874522549085,"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."}}