{"id":"W4225010532","doi":"10.2196/31464","title":"Overcoming Decisional Gaps in High-Risk Prescribing by Junior Physicians Using Simulation-Based Training: Protocol for a Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; National Institutes of Health; Brigham and Women's Hospital","keywords":"Facilitator; Debriefing; Intervention (counseling); Medicine; Protocol (science); Randomized controlled trial; Simulated patient; Nice; Psychological intervention; Family medicine; Nursing; Psychology; Medical education; Alternative medicine; Computer science","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":[0.0444372,0.00760171,0.01451765,0.003492225,0.003091138,0.004910646,0.003700215,0.008333993,0.07159449],"category_scores_gemma":[0.05098747,0.002868859,0.007968675,0.003960968,0.004137069,0.00339084,0.002295688,0.009005701,0.008656122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006261354,"about_ca_system_score_gemma":0.01338892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002674379,"about_ca_topic_score_gemma":0.003903655,"domain_scores_codex":[0.966736,0.02111349,0.003898326,0.002550105,0.002983673,0.002718409],"domain_scores_gemma":[0.9751059,0.01037725,0.004833121,0.002998215,0.00469707,0.001988492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8879005,0.01208848,0.0007905721,0.03703571,0.005479024,0.0003788297,0.0004892057,0.003115599,0.002148895,0.005681635,0.0165335,0.02835803],"study_design_scores_gemma":[0.9500431,0.01716556,0.001068372,0.004468224,0.001810958,0.0000500477,0.0001200146,0.003018908,0.0007587441,0.002966398,0.01842461,0.0001051463],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001046462,0.0002003418,0.001144127,0.000126262,0.000383075,0.9960885,0.0004908797,0.00008458288,0.0004357726],"genre_scores_gemma":[0.001084971,0.0000655283,0.001266909,0.00008054993,0.00002685324,0.9972645,0.00004521239,0.000003508098,0.0001620042],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07159449,"threshold_uncertainty_score":0.2395074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.285893774980219,"score_gpt":0.5756257029734675,"score_spread":0.2897319279932485,"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."}}