{"id":"W4408342205","doi":"10.2196/60789","title":"Using Real Electronic Health Records in Undergraduate Education: Roundtable Discussion","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Health records; Electronic health record; Psychology; Medical education; Library science; Engineering; World Wide Web; Computer science; Medicine; Political science; Health care","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":[0.07063897,0.002063366,0.0008977957,0.001509656,0.02290749,0.009933534,0.006506106,0.01493268,0.01835514],"category_scores_gemma":[0.08020347,0.001151852,0.001373623,0.0008963213,0.005408298,0.0122565,0.0290642,0.02184296,0.003082062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01554506,"about_ca_system_score_gemma":0.01838526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002818092,"about_ca_topic_score_gemma":0.005334361,"domain_scores_codex":[0.9399189,0.03996112,0.002661212,0.003698333,0.00545807,0.008302391],"domain_scores_gemma":[0.9040533,0.04089876,0.004226374,0.002760605,0.01662412,0.03143692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007618929,0.002295473,0.009043477,0.00364047,0.0001032326,0.004388627,0.4176544,0.0008898532,0.01003274,0.02076855,0.3040317,0.2263896],"study_design_scores_gemma":[0.0001862436,0.001138303,0.005761646,0.003145129,0.00003974243,0.0009058694,0.4895331,0.0009230549,0.003931206,0.007304525,0.4868557,0.0002754095],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1481165,0.00671095,0.02309126,0.7157055,0.07697959,0.004914214,0.0007691398,0.0008075108,0.02290537],"genre_scores_gemma":[0.6670278,0.0073648,0.03284443,0.2176182,0.02174523,0.01025977,0.0009578647,0.0006761331,0.04150584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07063897,"threshold_uncertainty_score":0.373579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242968324271451,"score_gpt":0.5520615691945734,"score_spread":0.4277647367674283,"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."}}