{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007819784,0.00005312161,0.00009675945,0.00009257794,0.000184259,0.00001343445,0.00003352197,0.00001555792,0.0006488534],"category_scores_gemma":[0.00002574698,0.00005368053,0.00002059874,0.0001294495,0.0000329162,0.0000199078,0.000103841,0.0001265724,0.00002702678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000327673,"about_ca_system_score_gemma":0.00001052111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001054652,"about_ca_topic_score_gemma":0.000001142978,"domain_scores_codex":[0.9995062,0.000003608238,0.0001096645,0.0001474018,0.0001203026,0.0001127799],"domain_scores_gemma":[0.9998434,0.000009740574,0.00002742841,0.00004447632,0.0000212302,0.00005376231],"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":[0.001176549,0.0005713432,0.008638672,0.0003682474,0.0001713007,0.001074866,0.006130305,0.00001652054,0.06547001,0.2209024,0.03168642,0.6637934],"study_design_scores_gemma":[0.0004485672,0.00155823,0.00213848,0.00001912017,0.0001522545,0.02222014,0.01981246,0.005124417,0.02458955,0.01741597,0.9061105,0.0004102982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972279,0.00009464703,0.0004147671,0.005473994,0.0002817358,0.0002286521,0.000001078645,0.0001334398,0.02109269],"genre_scores_gemma":[0.9971848,0.0000120718,0.0002141938,0.001349593,0.00005827763,0.00003085104,0.000001322761,0.000007676736,0.001141241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8744241,"threshold_uncertainty_score":0.7104489,"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."}}