{"id":"W4404826455","doi":"10.1111/jdv.20456","title":"AI versus dermatologist performance in psoriasis body surface area assessment: A ground truth‐validated, anatomical segment‐based comparative study (AI <scp>PASS</scp>)","year":2024,"lang":"en","type":"letter","venue":"Journal of the European Academy of Dermatology and Venereology","topic":"Psoriasis: Treatment and Pathogenesis","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Psoriasis; Body surface area; Dermatology; Ground truth; Artificial intelligence; Surgery","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":[0.005964192,0.000153209,0.00034504,0.0003918794,0.0002595942,0.0007430189,0.0003019342,0.001081585,0.002747838],"category_scores_gemma":[0.02558727,0.00009089267,0.0001870356,0.0004535308,0.0002766747,0.0006575969,0.0002908436,0.000447831,0.0009522376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005124093,"about_ca_system_score_gemma":0.0002551643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002728018,"about_ca_topic_score_gemma":0.003337351,"domain_scores_codex":[0.9975877,0.001362866,0.0001870237,0.0002948459,0.0004218285,0.0001457255],"domain_scores_gemma":[0.9795594,0.01387476,0.001198456,0.001087014,0.003780229,0.0005001021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007880682,0.0003453866,0.8876463,0.0001263859,0.0001886897,0.0008823117,0.0008026181,0.0006314712,0.00159136,0.0004187926,0.01706137,0.08242459],"study_design_scores_gemma":[0.0003163697,0.003648555,0.9700548,0.000103208,0.0001687949,0.004168959,0.001567208,0.005319933,0.001330095,0.001048929,0.01222357,0.00004943566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812352,0.0009900812,0.001174218,0.005515306,0.0004150793,0.00006866037,0.001432347,0.00002806959,0.009140937],"genre_scores_gemma":[0.9965071,0.0001173832,0.0007333458,0.001023877,0.0002108825,0.00002830027,0.0004906139,0.000008329466,0.0008801963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005964192,"threshold_uncertainty_score":0.031542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04213087454373087,"score_gpt":0.3059883763534948,"score_spread":0.2638575018097639,"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."}}