{"id":"W4210858662","doi":"10.2196/36894","title":"Teledermatology and Artificial Intelligence","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Triage; Telemedicine; Workflow; Medicine; Artificial intelligence; Coronavirus disease 2019 (COVID-19); Store and forward; Algorithm; Machine learning; Health care; Computer science; Medical emergency; Pathology; Database","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":[0.002338317,0.0003856584,0.0004580356,0.001719764,0.0003628897,0.002596165,0.0005600303,0.001330744,0.00609292],"category_scores_gemma":[0.008815957,0.0001233118,0.0002732654,0.001711702,0.00226445,0.001476089,0.0007964499,0.001256349,0.0008135658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318573,"about_ca_system_score_gemma":0.0008825151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451897,"about_ca_topic_score_gemma":0.0006459013,"domain_scores_codex":[0.9977195,0.001157926,0.0001356441,0.0003442422,0.0005547554,0.00008807059],"domain_scores_gemma":[0.9862343,0.0111867,0.0009523027,0.0005671833,0.0007972107,0.0002623374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002239504,0.0003722963,0.03116857,0.002097246,0.0001749228,0.0007402894,0.00111727,0.009185853,0.001679395,0.1571317,0.02430152,0.7718071],"study_design_scores_gemma":[0.0001114392,0.0007418339,0.08927042,0.002899806,0.0001020161,0.00509873,0.001794678,0.02802389,0.002034,0.5912073,0.2785945,0.0001213069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1347992,0.3798806,0.09778111,0.09000405,0.003459208,0.0004811003,0.001324634,0.0007647617,0.2915053],"genre_scores_gemma":[0.8305833,0.09690274,0.04635246,0.007812697,0.003713535,0.0003139635,0.0005985179,0.00006646071,0.0136564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00609292,"threshold_uncertainty_score":0.02038282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457146650522133,"score_gpt":0.264712087266731,"score_spread":0.2401406207615096,"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."}}