{"id":"W4403294624","doi":"10.7759/cureus.71224","title":"The Evolution From Standardized to Virtual Patients in Medical Education","year":2024,"lang":"en","type":"review","venue":"Cureus","topic":"Radiology practices and education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Medical education; Medical physics; Family medicine","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":[0.003498393,0.0007050608,0.001170762,0.003491173,0.000404501,0.002572085,0.00154349,0.00200562,0.003795119],"category_scores_gemma":[0.004952408,0.0004023945,0.0008028437,0.003089091,0.001919999,0.003274761,0.002304249,0.003260445,0.001215926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660364,"about_ca_system_score_gemma":0.002557968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002618015,"about_ca_topic_score_gemma":0.004035079,"domain_scores_codex":[0.9979261,0.0008451581,0.000275418,0.0002556535,0.0005955846,0.0001020723],"domain_scores_gemma":[0.99713,0.001881529,0.0003150034,0.00006875706,0.0004434975,0.0001612219],"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":[0.00008092147,0.00009337965,0.0003450458,0.02795901,0.0000943949,0.00009012552,0.0003751398,0.0002342487,0.0003332939,0.01279557,0.01115452,0.9464443],"study_design_scores_gemma":[0.00005513927,0.0002264236,0.002512679,0.02087788,0.0001404624,0.001820928,0.0003844708,0.0001336438,0.0003291319,0.003566972,0.9699125,0.00003988332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002075617,0.9976659,0.0001875206,0.0005060688,0.0001849862,0.00001038353,0.00001045922,0.000005597814,0.001221654],"genre_scores_gemma":[0.003034075,0.994621,0.0006907861,0.0009381514,0.0002368524,0.00002571737,0.00003058969,0.00000598934,0.0004167737],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003795119,"threshold_uncertainty_score":0.01850146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03088682849492676,"score_gpt":0.4189881738443249,"score_spread":0.3881013453493981,"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."}}