{"id":"W4410398992","doi":"10.1080/0142159x.2025.2501252","title":"Twelve tips: Using generative AI to create and optimize content for virtual patient simulations","year":2025,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; University of Saskatchewan","funders":"","keywords":"Content (measure theory); Generative grammar; Computer science; Generative model; Multimedia; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002434836,0.0001336998,0.0002623512,0.0001428515,0.0001622405,0.00001908051,0.00004800498,0.0001557658,0.0008529749],"category_scores_gemma":[0.001600983,0.0001139297,0.00005496867,0.0001959612,0.00008017688,0.00004159276,0.0000362734,0.0002196612,0.000005939646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257997,"about_ca_system_score_gemma":0.0006172186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001829537,"about_ca_topic_score_gemma":0.00001377879,"domain_scores_codex":[0.9986643,0.00009027751,0.0003925976,0.0003016371,0.0003294793,0.000221753],"domain_scores_gemma":[0.998554,0.0003766718,0.00004940257,0.0002068829,0.0004069412,0.0004061213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001539314,0.001459372,0.830584,0.0004019896,0.000614958,0.00001989359,0.02516135,0.03287022,0.0006530798,0.004864876,0.04473668,0.05709424],"study_design_scores_gemma":[0.004585742,0.0006707213,0.01859573,0.0006713713,0.0002365591,0.00001054387,0.004331486,0.9570943,0.0005849294,0.0003632407,0.01257055,0.0002848392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887176,0.0001933935,0.07822344,0.0306861,0.0005521307,0.001306253,0.00001838355,0.00005330751,0.0002493907],"genre_scores_gemma":[0.9795895,0.000002874714,0.005683139,0.01235557,0.0002973735,0.0001248921,0.00006796047,0.00001881072,0.001859843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9242241,"threshold_uncertainty_score":0.9339477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025169670811044,"score_gpt":0.4275977302952377,"score_spread":0.3250807632141333,"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."}}