{"id":"W3109007333","doi":"10.2196/23622","title":"Effective Use of Mobile Electronic Medical Records by Medical Interns in Real Clinical Settings: Mixed Methods Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical record; Electronic medical record; mHealth; Computer science; Mobile device; Medicine; Medical education; Medical emergency; World Wide Web; Nursing; Psychological intervention","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":[0.01299644,0.0005501912,0.001081883,0.001730627,0.00132783,0.001944738,0.001018624,0.0009937343,0.001656841],"category_scores_gemma":[0.02035938,0.000689886,0.001730668,0.001182187,0.0008110559,0.00194078,0.001482649,0.0008616277,0.0003021389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009653199,"about_ca_system_score_gemma":0.001221614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924458,"about_ca_topic_score_gemma":0.003724172,"domain_scores_codex":[0.9882947,0.006286079,0.001919997,0.001430905,0.001321641,0.0007466035],"domain_scores_gemma":[0.9789507,0.009424024,0.007189975,0.001446798,0.002105901,0.0008825637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001235132,0.00345109,0.949701,0.001081311,0.0008124833,0.0003340783,0.02301033,0.0001015309,0.0005384558,0.0002190862,0.0005483611,0.01896714],"study_design_scores_gemma":[0.0003443515,0.008341941,0.9131746,0.001013667,0.0009795823,0.0008156016,0.06842744,0.002057885,0.0008928492,0.0003871961,0.003398215,0.0001667023],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977075,0.00046096,0.0006206887,0.00009260307,0.00001782386,0.0005148738,0.0002207271,0.000004592417,0.0003601288],"genre_scores_gemma":[0.9931273,0.0004931567,0.00306143,0.0004804032,0.00004174541,0.001998577,0.0003469235,0.000009756785,0.0004406053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01299644,"threshold_uncertainty_score":0.06873256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240681238199302,"score_gpt":0.5819778444600613,"score_spread":0.4579097206401311,"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."}}