{"id":"W2025523512","doi":"10.1080/17538150802127223","title":"Usability of a mobile electronic medical record prototype: a verbal protocol analysis","year":2008,"lang":"en","type":"article","venue":"Informatics for Health and Social Care","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary; St. Michael's Hospital","funders":"University of Toronto","keywords":"Usability; Mobile device; Protocol (science); Medical record; Point of care; Computer science; Electronic medical record; Point (geometry); Internet privacy; Medical emergency; Medicine; World Wide Web; Human–computer interaction; Nursing; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2311751,0.001689062,0.001693747,0.004201903,0.00366746,0.003888894,0.002353545,0.00253462,0.005874248],"category_scores_gemma":[0.3612648,0.00143639,0.002003515,0.003008695,0.003317311,0.002489411,0.002679032,0.002672589,0.002243388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009323731,"about_ca_system_score_gemma":0.01369221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002125367,"about_ca_topic_score_gemma":0.001959624,"domain_scores_codex":[0.7465834,0.1908851,0.03259236,0.004014379,0.0226467,0.003278088],"domain_scores_gemma":[0.627906,0.2508663,0.01435203,0.01591093,0.08934112,0.001623569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01123699,0.009451938,0.0170625,0.0273273,0.0004780131,0.002138271,0.2626041,0.005848849,0.03493151,0.01679197,0.02102189,0.5911066],"study_design_scores_gemma":[0.01863153,0.08787906,0.09623948,0.03579749,0.001937299,0.002222145,0.2861987,0.05155674,0.08697609,0.0150713,0.3158749,0.001615248],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.1430449,0.0003911897,0.07906642,0.00111349,0.0003179747,0.768056,0.001471127,0.0004243272,0.006114547],"genre_scores_gemma":[0.06215645,0.0002520462,0.07029072,0.0003297905,0.00004739644,0.8651896,0.0003958786,0.00008742133,0.00125069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2311751,"threshold_uncertainty_score":0.9480979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04198921473833177,"score_gpt":0.4665606498377993,"score_spread":0.4245714350994675,"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."}}