{"id":"W4220936408","doi":"10.2196/36905","title":"Teledermatology and Artificial Intelligence: Piction Health","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Diagnostic accuracy; Artificial intelligence; Medicine; Primary care; Differential diagnosis; Scarcity; Machine learning; Health care; Computer science; Family medicine; Pathology; Telemedicine; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303509,0.000597427,0.0003176078,0.001775059,0.0003675473,0.00287666,0.0007220557,0.001421942,0.01652808],"category_scores_gemma":[0.004914547,0.000179057,0.0004986616,0.001471251,0.0009335877,0.002468059,0.001012162,0.001421533,0.004073109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000886065,"about_ca_system_score_gemma":0.0005431776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016606,"about_ca_topic_score_gemma":0.001513376,"domain_scores_codex":[0.9989869,0.0004519622,0.00006012541,0.0001815606,0.0002606795,0.00005869341],"domain_scores_gemma":[0.9975885,0.001490713,0.0002213069,0.0002675879,0.0003112967,0.0001205047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001359077,0.0001835091,0.01933139,0.0008693095,0.0001234178,0.0003402758,0.0002516989,0.01033075,0.002047302,0.02788847,0.08411439,0.8543836],"study_design_scores_gemma":[0.00007056238,0.0005519298,0.05045894,0.002469823,0.0001860055,0.003899025,0.001307801,0.1890507,0.007064105,0.2245314,0.5202488,0.00016087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09765115,0.1530737,0.2836089,0.1191341,0.007970635,0.0006102404,0.006460826,0.007519749,0.3239705],"genre_scores_gemma":[0.7283843,0.06056337,0.132862,0.0140366,0.005746104,0.0002807816,0.004117793,0.0002797567,0.0537294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01652808,"threshold_uncertainty_score":0.05529189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820967638757219,"score_gpt":0.2901338041854474,"score_spread":0.2619241277978752,"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."}}