{"id":"W4379466703","doi":"10.12788/cutis.0764","title":"Artificial Intelligence vs Medical Providers in the Dermoscopic Diagnosis of Melanoma","year":2023,"lang":"en","type":"article","venue":"Cutis","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineers Without Borders Canada","funders":"","keywords":"Medicine; Melanoma; Teledermatology; Referral; Dermatology; Melanoma diagnosis; Biopsy; Predictive value; Diagnostic accuracy; Pathology; Radiology; Internal medicine; Health care; Telemedicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003304523,0.00007148442,0.0001558297,0.0001524578,0.00003332554,0.00001112553,0.0001314917,0.00006138097,0.000571181],"category_scores_gemma":[0.0003942293,0.00005063307,0.00005172472,0.0005663059,0.0000835004,0.00002087675,0.00004728421,0.0001382758,0.0001882133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002782451,"about_ca_system_score_gemma":0.00005409984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001834066,"about_ca_topic_score_gemma":0.0003953816,"domain_scores_codex":[0.9989821,0.00005205872,0.0002632618,0.0001507736,0.0003843397,0.0001674256],"domain_scores_gemma":[0.9994901,0.0001821593,0.00003825858,0.000211773,0.0000185298,0.00005911093],"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":[0.0003111536,0.000631668,0.08926984,0.0005185832,0.0001306656,0.003433361,0.006020811,0.00003289599,0.000401897,0.01126633,0.04028635,0.8476964],"study_design_scores_gemma":[0.001900806,0.005240151,0.5760505,0.001903009,0.0005930316,0.001942358,0.02975935,0.02021203,0.06901736,0.01962961,0.2726339,0.001117884],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749147,0.00008463033,0.0003490596,0.02069752,0.0003663059,0.0005439421,0.000002184717,0.00008002226,0.002961664],"genre_scores_gemma":[0.9984927,0.0001869959,0.00003967485,0.0008331926,0.00008015097,0.00009372381,0.000006199144,0.000008043757,0.0002593418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8465785,"threshold_uncertainty_score":0.6254031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917866017792736,"score_gpt":0.3087719468349236,"score_spread":0.2695932866569962,"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."}}