{"id":"W4387872500","doi":"10.1097/prs.0000000000010795","title":"New Technologies and New Challenges: What Effect Will ChatGPT Have on Plastic Surgery Research?","year":2023,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Misinformation; Pace; Medicine; Data science; Risk analysis (engineering); Emerging technologies; Quality (philosophy); Psychological intervention; Field (mathematics); Management science; Computer science; Artificial intelligence; Epistemology; Computer security","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001672489,0.0003339943,0.0007991079,0.001869905,0.0002731924,0.0001154814,0.0001003556,0.0003647318,0.0001410353],"category_scores_gemma":[0.03371268,0.000290284,0.000169488,0.0009458894,0.00047953,0.0005285763,0.00008742156,0.0008047353,0.0005222693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218111,"about_ca_system_score_gemma":0.001213478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003793514,"about_ca_topic_score_gemma":0.0001374349,"domain_scores_codex":[0.9968311,0.0002634196,0.0006269202,0.0007799853,0.0005867867,0.0009118014],"domain_scores_gemma":[0.9182805,0.08047386,0.0001545308,0.0004220542,0.0002319318,0.0004371183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005245977,0.00003154346,0.06484581,0.0003342358,0.00008702977,0.0001049221,0.0008812358,0.000005361941,0.0000972616,0.000251842,0.01141423,0.9214219],"study_design_scores_gemma":[0.001067638,0.005823215,0.4891545,0.03954031,0.0006593328,0.0024286,0.2476111,0.002518532,0.09388945,0.08452457,0.028827,0.003955734],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825893,0.004295346,0.0001197563,0.004601734,0.007093741,0.0005110126,0.000006417979,0.0005441052,0.0002385653],"genre_scores_gemma":[0.9799455,0.01846612,0.00007650122,0.00004238468,0.0009924244,0.00008475169,0.00003297392,0.0000574189,0.0003019357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9174662,"threshold_uncertainty_score":0.9999549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2571251003699818,"score_gpt":0.4059841472667404,"score_spread":0.1488590468967586,"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."}}