{"id":"W4388014955","doi":"10.2196/50409","title":"Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris","year":2023,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atopic dermatitis; Dermatology; Acne; Preprint; Medicine; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001749215,0.0001198274,0.0005451884,0.0001192067,0.00009939256,0.00001685247,0.00008730293,0.0001721505,0.00000566325],"category_scores_gemma":[0.0005069391,0.00009256256,0.00005957848,0.000173822,0.0004147406,0.0001298704,0.0001146015,0.0001682113,0.000003720521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000696746,"about_ca_system_score_gemma":0.00006236442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008316659,"about_ca_topic_score_gemma":0.00001401308,"domain_scores_codex":[0.9987665,0.000183504,0.0005126903,0.0002229506,0.0000717353,0.0002426565],"domain_scores_gemma":[0.9974836,0.00201291,0.000145778,0.0002213584,0.0000681976,0.00006811772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003613512,0.00005580818,0.9869307,0.0009165894,0.00004763646,0.000230473,0.0003519551,0.00000127543,0.0001567479,0.0004514889,0.003355203,0.007465949],"study_design_scores_gemma":[0.001876893,0.00002219532,0.9867725,0.0002272443,0.00004217779,0.001398542,0.0004142027,0.002264539,0.000519058,0.000767534,0.005610737,0.00008435806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893011,0.002300137,0.0001457667,0.007376022,0.0001485878,0.0005677607,0.000005812841,0.00004516714,0.000109591],"genre_scores_gemma":[0.997906,0.0004678125,0.0002023564,0.001212128,0.0000284263,0.0001337782,0.00001615698,0.00001265929,0.00002065773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00860487,"threshold_uncertainty_score":0.3774592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697273054300665,"score_gpt":0.4202542628118683,"score_spread":0.3632815322688617,"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."}}