{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002310346,0.0001992019,0.0009849537,0.0001822731,0.001639941,0.000004522066,0.0002076298,0.0004630994,0.0001020477],"category_scores_gemma":[0.0003558767,0.0001750938,0.000218084,0.0005826079,0.0001575537,0.0001354382,0.00006476953,0.0008508271,0.000009250206],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109761,"about_ca_system_score_gemma":0.01474985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358991,"about_ca_topic_score_gemma":0.00325914,"domain_scores_codex":[0.9950972,0.0004997476,0.002323551,0.000183855,0.0006266639,0.001269041],"domain_scores_gemma":[0.9971694,0.0004541186,0.001059551,0.0002580948,0.0005659281,0.0004929428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002426921,0.0002546199,0.2065389,0.09051329,0.0004621098,0.000001206455,0.6018021,0.000004490985,8.193027e-7,0.00428096,0.007002744,0.08671184],"study_design_scores_gemma":[0.00776166,0.008107187,0.004695652,0.0004321824,0.0001261247,0.000009467986,0.08861712,0.003588723,0.000005438664,0.0005607482,0.8855289,0.0005667675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6328931,0.0003650552,0.003053305,0.001366149,0.0003248526,0.3589755,0.0002980279,0.0002117669,0.002512218],"genre_scores_gemma":[0.6255984,0.00009917645,0.0006878803,0.002660769,0.000388978,0.3702566,0.0001661493,0.00003263837,0.0001093753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8785262,"threshold_uncertainty_score":0.9996598,"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."}}