{"id":"W2885645832","doi":"10.1108/lm-10-2017-0107","title":"Testing, testing: a usability case study at University of Toronto Scarborough Library","year":2018,"lang":"en","type":"article","venue":"Library Management","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Usability; Computer science; Card sorting; World Wide Web; Digital library; Originality; Key (lock); Web usability; Task (project management); Heuristic evaluation; Cognitive walkthrough; Qualitative research; Human–computer interaction; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01357518,0.0007771942,0.0008401313,0.001785923,0.008494025,0.003757284,0.003290358,0.002407375,0.00338305],"category_scores_gemma":[0.03996087,0.0009192816,0.0005677263,0.002836973,0.004623214,0.002255706,0.00268466,0.00146387,0.0006877266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01563562,"about_ca_system_score_gemma":0.01114978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1895046,"about_ca_topic_score_gemma":0.3127763,"domain_scores_codex":[0.9768305,0.01309065,0.001585736,0.001282774,0.004752471,0.002457833],"domain_scores_gemma":[0.9421667,0.03432927,0.003115781,0.003753263,0.01230357,0.004331472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007461625,0.00483137,0.06180695,0.002113889,0.0001069102,0.03241759,0.7865547,0.001662333,0.01046197,0.00161799,0.006816911,0.09086322],"study_design_scores_gemma":[0.0002927958,0.009569562,0.1270423,0.001743403,0.0002588462,0.007965811,0.7808503,0.004525439,0.01611769,0.0005009965,0.05080985,0.0003230028],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883088,0.0004941496,0.002544183,0.0006743418,0.00002183463,0.001311845,0.00009189305,0.00009036991,0.00646252],"genre_scores_gemma":[0.9908348,0.0005066147,0.004101809,0.0004497229,0.00001804824,0.00059607,0.00007844443,0.00007166491,0.003342658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1895046,"threshold_uncertainty_score":0.3768032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171373059775932,"score_gpt":0.2330564551208507,"score_spread":0.1913427245230914,"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."}}