{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004151605,0.0001458279,0.0004525017,0.002089567,0.0005004284,0.0008002688,0.0003489389,0.0004978383,0.001821821],"category_scores_gemma":[0.01088335,0.0003002703,0.0006219222,0.002004433,0.0004318165,0.0009309563,0.0008042717,0.0004446562,0.0004305792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000724736,"about_ca_system_score_gemma":0.0006922893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003004258,"about_ca_topic_score_gemma":0.002801653,"domain_scores_codex":[0.9968122,0.001182838,0.0005481653,0.0002057168,0.0009478057,0.0003033185],"domain_scores_gemma":[0.9894727,0.0035197,0.003737584,0.0003324399,0.001980824,0.0009567235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005771752,0.000162508,0.9946043,0.00008212832,0.00004192104,0.00007271198,0.001045261,0.0000285741,0.0001899049,0.00001005395,0.0001628628,0.003541946],"study_design_scores_gemma":[0.000004862924,0.0004602419,0.9959142,0.00002878478,0.00001887684,0.000290299,0.002618869,0.0001833091,0.0001242007,0.000008145683,0.0003389414,0.000009228455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991473,0.0001538011,0.00007468636,0.00007215615,0.000001938726,0.00002787902,0.0001373556,0.000004167955,0.0003807855],"genre_scores_gemma":[0.9993008,0.0001725688,0.0001468346,0.00008844401,0.000007522524,0.00003390989,0.000114944,0.000002100792,0.0001329912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004151605,"threshold_uncertainty_score":0.02195603,"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."}}