{"id":"W2006303821","doi":"10.1108/07378831111138189","title":"Usability testing of VuFind at an academic library","year":2011,"lang":"en","type":"article","venue":"Library Hi Tech","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Usability; Computer science; Pluralistic walkthrough; Usability engineering; Task (project management); Interface (matter); World Wide Web; Originality; Web usability; Usability lab; Test (biology); Set (abstract data type); User interface; System usability scale; Subject (documents); Human–computer interaction; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03846103,0.0005544836,0.001002669,0.002218541,0.001547958,0.002799406,0.001758127,0.0006645122,0.002364977],"category_scores_gemma":[0.07665994,0.0005726713,0.0007318091,0.002000347,0.001248826,0.00236208,0.002114986,0.0007119593,0.0007614575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002700539,"about_ca_system_score_gemma":0.002785071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003831357,"about_ca_topic_score_gemma":0.004463309,"domain_scores_codex":[0.9664083,0.02131019,0.003015589,0.001430996,0.006808907,0.001025975],"domain_scores_gemma":[0.9077495,0.06268582,0.003514961,0.007613495,0.01686669,0.001569608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002900216,0.005784802,0.2209187,0.003183462,0.0002366758,0.00101301,0.1168222,0.002156077,0.02343117,0.001024013,0.003432817,0.6190969],"study_design_scores_gemma":[0.0008068552,0.03716089,0.7276078,0.001792916,0.0005272907,0.001943034,0.1085958,0.01382902,0.0485688,0.000864483,0.05764481,0.0006583636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906656,0.0001633343,0.004644362,0.000111995,0.00001807397,0.001094607,0.00008893623,0.0003159596,0.002897111],"genre_scores_gemma":[0.9706937,0.0001823103,0.02456815,0.0001609831,0.00002416759,0.00176602,0.0002702312,0.0001013523,0.002233073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03846103,"threshold_uncertainty_score":0.2034038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1010183247008856,"score_gpt":0.2583884428979655,"score_spread":0.1573701181970799,"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."}}