{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005095487,0.001444302,0.0004519646,0.001999541,0.0008910351,0.003883452,0.002222679,0.001697693,0.01735547],"category_scores_gemma":[0.03255644,0.0007081081,0.001068713,0.0009084745,0.002026214,0.003640513,0.004268026,0.00276288,0.006077997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009936809,"about_ca_system_score_gemma":0.001303216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000777592,"about_ca_topic_score_gemma":0.002386206,"domain_scores_codex":[0.9967217,0.001686011,0.0002416165,0.0002528237,0.0009398774,0.0001580184],"domain_scores_gemma":[0.9832803,0.01112985,0.0004356896,0.001913844,0.002299526,0.000940767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003164723,0.0003999886,0.004157385,0.001594739,0.0001011906,0.001098628,0.007892047,0.01984382,0.02101082,0.04908773,0.0847463,0.8097508],"study_design_scores_gemma":[0.0002710934,0.0008091305,0.003604671,0.00154527,0.0002191912,0.00510615,0.00388251,0.1208868,0.04743303,0.1198138,0.6960065,0.0004220145],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0128245,0.0007304268,0.9429337,0.004775701,0.000602843,0.0005786142,0.0002907389,0.01218187,0.02508168],"genre_scores_gemma":[0.05060852,0.000659618,0.9356838,0.0009470903,0.00009317478,0.0003800311,0.0003439627,0.002630462,0.008653255],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01735547,"threshold_uncertainty_score":0.05805981,"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."}}