{"id":"W1561434079","doi":"10.18438/b8vp59","title":"Building Evidence of the Value and Impact of Library and Information Services: Methods, Metrics and ROI","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; Joint Information Systems Committee; Syracuse University; Institute of Museum and Library Services","keywords":"Value (mathematics); Computer science; Information retrieval; World Wide Web; Statistics; Library science; Mathematics","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.1803328,0.002206139,0.002723132,0.02283487,0.001346779,0.01222619,0.004161345,0.004070623,0.01491883],"category_scores_gemma":[0.4769544,0.001111989,0.004324756,0.0191698,0.00401354,0.009901266,0.005757798,0.003863505,0.002779892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01022926,"about_ca_system_score_gemma":0.02139901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007541789,"about_ca_topic_score_gemma":0.01420234,"domain_scores_codex":[0.7946542,0.1278546,0.0201457,0.005128212,0.04977799,0.00243932],"domain_scores_gemma":[0.3329938,0.5113624,0.05182652,0.02794113,0.07266942,0.003206682],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002989816,0.001688043,0.1324884,0.05705178,0.008866738,0.0002520474,0.001816025,0.003546173,0.001362695,0.03778379,0.02121023,0.7309443],"study_design_scores_gemma":[0.00227822,0.01662874,0.2985896,0.2881287,0.03177758,0.001175446,0.01176502,0.01431256,0.02146448,0.0940201,0.2188884,0.000971081],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.1629153,0.4106188,0.1475765,0.1157274,0.006749921,0.01332789,0.02247366,0.0009680944,0.1196425],"genre_scores_gemma":[0.7400125,0.08897077,0.144499,0.00804573,0.001160784,0.005773949,0.005260649,0.0002340433,0.006042708],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9771651,"threshold_uncertainty_score":0.9537026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138228470787285,"score_gpt":0.297249600588897,"score_spread":0.2758673158810241,"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."}}