{"id":"W3206130355","doi":"10.2196/28762","title":"Comparing International Experiences With Electronic Health Records Among Emergency Medicine Physicians in the United States and Norway: Semistructured Interview Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Akershus Universitetssykehus; Norske Legeforening","keywords":"Thematic analysis; Context (archaeology); Qualitative research; Health care; Health information technology; Psychology; Exploratory research; Medical education; Medicine; Political science; Geography; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.001355417,0.0002770115,0.0005764472,0.0002219376,0.0007796811,0.00001736433,0.0004149837,0.00007838243,0.0008217056],"category_scores_gemma":[0.0000591692,0.0001759729,0.00003340844,0.0008174555,0.0001088705,0.0001414042,0.00009689874,0.001157592,0.000003576788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006326921,"about_ca_system_score_gemma":0.0003904663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01239991,"about_ca_topic_score_gemma":0.1474276,"domain_scores_codex":[0.9949629,0.002138507,0.001050173,0.0004760874,0.000503897,0.0008684873],"domain_scores_gemma":[0.9984665,0.0002544106,0.0005815812,0.0003806191,0.0001930668,0.0001238576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001287928,0.0001123525,0.6861575,0.000210177,0.00004388465,0.000003933498,0.3115005,0.000004141732,0.00001334276,0.00009743933,0.001660489,0.0001833616],"study_design_scores_gemma":[0.0007868832,0.0006201257,0.526736,0.0005190715,0.000007738187,0.00000201885,0.4667952,0.0001236487,0.000003336686,0.00007476892,0.004189789,0.0001414206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949996,0.0004677135,0.00002789293,0.001508183,0.0006371302,0.001618398,0.000004859894,0.00005562184,0.0006805297],"genre_scores_gemma":[0.9973814,0.0002788489,0.000002837409,0.0004800406,0.0002667887,0.0006277676,0.0001955641,0.00003094337,0.000735745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594215,"threshold_uncertainty_score":0.9941766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08774488043668253,"score_gpt":0.4461475638250116,"score_spread":0.358402683388329,"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."}}