{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04694806,0.001626763,0.001154918,0.009019571,0.002599254,0.01006639,0.002481513,0.001648863,0.01402894],"category_scores_gemma":[0.1178108,0.0009575818,0.001897689,0.006340926,0.002992105,0.01237302,0.007007673,0.002103473,0.005670777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056425,"about_ca_system_score_gemma":0.00314832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241748,"about_ca_topic_score_gemma":0.003020633,"domain_scores_codex":[0.956349,0.03038808,0.002683829,0.002334686,0.007394042,0.0008504405],"domain_scores_gemma":[0.8374678,0.1165676,0.00669005,0.01919744,0.01832278,0.001754173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00020022,0.0008760931,0.02187536,0.003284135,0.0001364052,0.0003888501,0.06752478,0.0004008088,0.008433352,0.01255972,0.01997931,0.8643411],"study_design_scores_gemma":[0.0004883138,0.004292619,0.1111328,0.008258596,0.0007903298,0.003077631,0.1531859,0.008524958,0.02493262,0.0558564,0.6288759,0.0005839763],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1641,0.005268965,0.6749439,0.01666547,0.0007283434,0.00495931,0.001438538,0.01066016,0.1212353],"genre_scores_gemma":[0.2657444,0.002994503,0.711007,0.001529474,0.0002991609,0.003183616,0.0006670583,0.00109621,0.01347857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9899336,"threshold_uncertainty_score":0.248288,"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."}}