{"id":"W4385898137","doi":"10.1007/s00266-023-03538-1","title":"Complications Following Facelift and Neck Lift: Implementation and Assessment of Large Language Model and Artificial Intelligence (ChatGPT) Performance Across 16 Simulated Patient Presentations","year":2023,"lang":"en","type":"article","venue":"Aesthetic Plastic Surgery","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Psychological intervention; Otorhinolaryngology; Anxiety; Presentation (obstetrics); Differential diagnosis; Health care; Physical therapy; Medical emergency; Surgery; Psychiatry","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":[0.002190879,0.0005522033,0.0005014787,0.0005019445,0.0004705095,0.0009130638,0.001151824,0.001000428,0.001572488],"category_scores_gemma":[0.01702947,0.0004152212,0.0006062739,0.0003850451,0.0005775933,0.0006883994,0.00137291,0.0008487505,0.0006622053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174131,"about_ca_system_score_gemma":0.001117199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00657612,"about_ca_topic_score_gemma":0.006710744,"domain_scores_codex":[0.9984424,0.000808153,0.0001351017,0.0002433357,0.0002512507,0.0001197793],"domain_scores_gemma":[0.990777,0.005791404,0.0006991689,0.0007519229,0.001081043,0.0008994216],"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":[0.01720109,0.02639462,0.4974067,0.0005945714,0.0007803079,0.005665787,0.0153983,0.1325052,0.01899381,0.0007350713,0.005699628,0.2786249],"study_design_scores_gemma":[0.001171759,0.03452894,0.4709229,0.0001369675,0.0004006086,0.003636259,0.01066393,0.447165,0.02538013,0.001722268,0.003743135,0.0005281092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982939,0.00001294996,0.001102025,0.00004584443,0.000006327698,0.00007891394,0.0001349226,0.00009467037,0.0002304147],"genre_scores_gemma":[0.9953806,0.00003715913,0.003534461,0.00005159624,0.000006051846,0.0001141461,0.0004137793,0.00002747863,0.0004345881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00657612,"threshold_uncertainty_score":0.01307571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1231273372157957,"score_gpt":0.4538290074812418,"score_spread":0.3307016702654461,"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."}}