{"id":"W2948467013","doi":"10.48550/arxiv.1906.01256","title":"Visual Diagnosis of Dermatological Disorders: Human and Machine Performance","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Teledermatology; Modalities; Computer science; Dermatological diseases; Skin lesion; Artificial intelligence; Ranking (information retrieval); Medicine; Machine learning; Dermatology; Health care; Telemedicine","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":[0.005430462,0.0008897074,0.000734868,0.002796509,0.000352152,0.003148804,0.0006923998,0.001317453,0.002625948],"category_scores_gemma":[0.01812843,0.0001991066,0.0004407617,0.001471945,0.0006678919,0.001868635,0.0008169584,0.0008573536,0.001425219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104544,"about_ca_system_score_gemma":0.0004828801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005238188,"about_ca_topic_score_gemma":0.003773,"domain_scores_codex":[0.995564,0.001514354,0.0002122393,0.0009388707,0.00152607,0.0002445463],"domain_scores_gemma":[0.988796,0.008231641,0.0005555481,0.0008316337,0.001313047,0.0002722192],"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":[0.001065795,0.0002957986,0.04511477,0.0009351658,0.0005428427,0.0001519995,0.0002442929,0.03137834,0.008008549,0.002739391,0.0417462,0.8677768],"study_design_scores_gemma":[0.0001261547,0.001454175,0.1781584,0.0006042182,0.0003601117,0.001615347,0.0009227198,0.7074419,0.04017692,0.03180588,0.03711268,0.0002214549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6274943,0.1124876,0.1774274,0.008615335,0.003259307,0.0004628474,0.008292808,0.009649517,0.05231083],"genre_scores_gemma":[0.9417336,0.00543253,0.04483167,0.0005519601,0.0006976362,0.00004760753,0.003697509,0.0002045753,0.002802859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005430462,"threshold_uncertainty_score":0.02871937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05016718860895025,"score_gpt":0.2088615511537892,"score_spread":0.1586943625448389,"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."}}