{"id":"W4389795166","doi":"10.18438/eblip30416","title":"User Experience Research Techniques Facilitate Improvements for Access and Discovery Tools Managed by Technical Services Librarians","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Workflow; Computer science; World Wide Web; Subject (documents); User interface; Interface (matter); Database; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001161406,0.000192399,0.0001683157,0.0003902473,0.0005001966,0.007865324,0.001499066,0.0001289149,0.00001753706],"category_scores_gemma":[0.0003768182,0.0001689626,0.00003556905,0.001380965,0.0001131488,0.6543376,0.001454258,0.0002936349,0.00001910538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007547666,"about_ca_system_score_gemma":0.0001264681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002077489,"about_ca_topic_score_gemma":1.328639e-7,"domain_scores_codex":[0.9979199,0.0002933181,0.0004670378,0.0004306776,0.0004806778,0.0004084454],"domain_scores_gemma":[0.9956188,0.003389641,0.0002226077,0.0005420158,0.00006815964,0.0001587292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001125398,0.0001659247,0.003428969,0.003069513,0.0000563461,0.00002022002,0.00409192,0.00003289465,0.004337568,0.7966405,0.05430395,0.1327269],"study_design_scores_gemma":[0.0003665667,0.0003583169,0.007683764,0.0003756577,0.000008443877,0.000007210389,0.00143278,0.01219537,0.01773934,0.002309463,0.9571788,0.0003443179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1270123,0.00225875,0.3278519,0.5086609,0.0009370535,0.008644553,0.0006280615,0.006585523,0.01742107],"genre_scores_gemma":[0.5729234,0.01469482,0.1710305,0.2306987,0.0003778272,0.003675235,0.001064837,0.00009241069,0.005442283],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9028748,"threshold_uncertainty_score":0.9931646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05545363496089066,"score_gpt":0.3408648789579805,"score_spread":0.2854112439970898,"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."}}