{"id":"W4200425077","doi":"10.2196/35437","title":"Explainability of Convolutional Neural Networks for Dermatological Diagnosis","year":2021,"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":"Convolutional neural network; Computer science; Artificial intelligence; Seborrheic keratosis; Dermatology; Dermatological diseases; Pattern recognition (psychology); Medicine","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":[0.001978061,0.001303654,0.0004091731,0.001704417,0.0003355212,0.001010465,0.0009321567,0.001220809,0.002325457],"category_scores_gemma":[0.01011688,0.0002774688,0.001045143,0.0006000404,0.0005447486,0.001206175,0.0009566616,0.00112125,0.0003696312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091544,"about_ca_system_score_gemma":0.000623197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007847016,"about_ca_topic_score_gemma":0.007022478,"domain_scores_codex":[0.9988954,0.0002990252,0.00008503246,0.0003755001,0.0002343439,0.0001106755],"domain_scores_gemma":[0.9949705,0.003530401,0.0004798905,0.0005088605,0.0004102094,0.0001002617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009835336,0.0001773877,0.04665904,0.0009642147,0.0005553643,0.0009795983,0.0004437486,0.5271659,0.02344592,0.01011481,0.00961477,0.3788957],"study_design_scores_gemma":[0.00002893166,0.0001478639,0.01567809,0.00009977661,0.0001175301,0.000394298,0.00006687999,0.9563085,0.01020048,0.01295856,0.003967799,0.00003131919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5362158,0.009652814,0.430951,0.002621907,0.0002653616,0.0003133309,0.005837851,0.005719899,0.008422031],"genre_scores_gemma":[0.9525542,0.0009710168,0.03855623,0.0001985047,0.00009338583,0.00009001003,0.005573412,0.0001553325,0.001807886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007847016,"threshold_uncertainty_score":0.01560265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575653274649338,"score_gpt":0.274380594902862,"score_spread":0.2486240621563686,"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."}}