{"id":"W3127383545","doi":"10.2196/25828","title":"The Impact of Electronic Health Record–Based Simulation During Intern Boot Camp: Interventional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Medicine; Boot camp; Workflow; Chart; Electronic health record; Intervention (counseling); Session (web analytics); Checklist; Patient safety; Medical education; Medical emergency; Medical physics; Health care; Computer science; Psychology; Nursing; Database; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007644343,0.0001557026,0.0002822671,0.0001646528,0.0002159679,0.00002612118,0.0001128018,0.0001062424,0.001863798],"category_scores_gemma":[0.001282762,0.0001199209,0.0002185085,0.0005294611,0.00006831968,0.00008079119,0.00002733176,0.0004561846,0.00002147795],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153482,"about_ca_system_score_gemma":0.01938692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008022917,"about_ca_topic_score_gemma":0.0002226724,"domain_scores_codex":[0.9972363,0.0003992758,0.0008790885,0.0003253883,0.0008116539,0.0003483551],"domain_scores_gemma":[0.9971748,0.0005776047,0.0003919413,0.000499667,0.0009728963,0.0003831143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004873215,0.007777937,0.958752,0.0004141431,0.0001672757,0.000003320509,0.00462472,0.001759388,0.00004145173,0.0001353426,0.00186452,0.0239726],"study_design_scores_gemma":[0.00171174,0.001222953,0.9710268,0.0006118428,0.00002755503,0.0000207856,0.00501614,0.01960247,0.00006600723,0.0002507377,0.0003327742,0.0001102078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878621,0.000638613,0.0002517193,0.009235474,0.0007780083,0.001120997,0.00000398568,0.00004864288,0.00006046698],"genre_scores_gemma":[0.9979559,0.00001380908,0.00004946222,0.0003779522,0.0005043511,0.0002658288,0.0002574531,0.00002686482,0.0005484236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02386239,"threshold_uncertainty_score":0.9990487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596338675944034,"score_gpt":0.473077787629582,"score_spread":0.4471144008701417,"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."}}