{"id":"W3156205718","doi":"10.2196/23293","title":"Usability Analysis of a Health Sciences Digital Library by Medical Residents: Cross-sectional Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deanship of Scientific Research, King Saud University; King Saud University","keywords":"Usability; Digital library; Digital health; Computer science; System usability scale; Medical library; World Wide Web; Consistency (knowledge bases); Web usability; Health care; Library science; 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":[],"category_scores_codex":[0.01117402,0.0001132792,0.00036199,0.0004441314,0.0005010388,0.001047825,0.001735676,0.000102577,0.0006585948],"category_scores_gemma":[0.001889659,0.00009527789,0.0001640212,0.006511565,0.001313366,0.003518109,0.001217291,0.0004843168,0.00005722295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303045,"about_ca_system_score_gemma":0.001906068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002810367,"about_ca_topic_score_gemma":0.00008152179,"domain_scores_codex":[0.9927827,0.002495065,0.0007706737,0.0005893225,0.002805454,0.0005568582],"domain_scores_gemma":[0.9956706,0.002658945,0.0001411023,0.0005887353,0.0006854386,0.0002551595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002422929,0.0005484297,0.9868815,0.00005649171,0.0001378057,0.000002566556,0.001416969,0.00003099747,0.00001096872,0.001720218,0.00586012,0.003309704],"study_design_scores_gemma":[0.0001535915,0.0002664312,0.9807661,0.00002074627,0.000001058826,0.000003478795,0.000128835,0.01514973,0.000852745,0.002164739,0.0004018772,0.00009068006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667982,0.0002873698,0.02930218,0.001626001,0.00009439869,0.0001793723,0.0004713371,0.00005396188,0.001187152],"genre_scores_gemma":[0.999094,0.00003179636,0.0003227724,0.00010344,0.00001057872,0.00002231067,0.0001156269,0.000004005591,0.0002954381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03229581,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1426719443879876,"score_gpt":0.4638297129208133,"score_spread":0.3211577685328257,"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."}}