{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394109,0.0001912124,0.0002432498,0.0001099776,0.00009781941,0.00005405979,0.002326931,0.0002082285,0.0005886505],"category_scores_gemma":[0.00008203261,0.0001772275,0.00006615718,0.0007303091,0.0001794582,0.007052013,0.001228812,0.0003701302,0.00008739012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001231285,"about_ca_system_score_gemma":0.0001170632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001783831,"about_ca_topic_score_gemma":4.350553e-7,"domain_scores_codex":[0.9981735,0.0001879507,0.0004834849,0.000600534,0.0002153414,0.0003391335],"domain_scores_gemma":[0.9981579,0.0002645388,0.0001512992,0.00123345,0.00001842805,0.0001743636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008747321,0.0004328752,0.9178283,0.0001346132,0.00001931393,0.00001985351,0.00364588,0.000008240469,0.01703816,0.02960838,0.00411506,0.02706181],"study_design_scores_gemma":[0.0002388423,0.0005795603,0.1438415,0.00007762519,0.000008263332,0.00002850416,0.00004554127,0.006400686,0.7482757,0.09711153,0.002973991,0.000418265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721184,0.0001620669,0.004237023,0.0004238223,0.0001795237,0.0002371965,0.00001516387,0.001022529,0.02160428],"genre_scores_gemma":[0.8445947,0.000006953161,0.1542641,0.0003657233,0.00004635067,0.00001140979,0.000004131729,0.00002197995,0.0006846713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7739869,"threshold_uncertainty_score":0.7227126,"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."}}