{"id":"W4310803158","doi":"10.18280/ts.390548","title":"A Novel Deep Convolutional Neural Network for Diagnosis of Skin Disease","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softmax function; Convolutional neural network; Computer science; Artificial intelligence; Pattern recognition (psychology); Classifier (UML); Feature extraction; Deep learning; Precision and recall; Recall","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":[0.0002573021,0.0005209501,0.0003387646,0.0006148855,0.0002058992,0.0003838582,0.0005601683,0.0006824909,0.001692111],"category_scores_gemma":[0.0004163345,0.0001898915,0.0003487942,0.0003321163,0.0001358735,0.0004011934,0.000378559,0.0004152125,0.0005228838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006913593,"about_ca_system_score_gemma":0.0007304097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111942,"about_ca_topic_score_gemma":0.01512002,"domain_scores_codex":[0.9998475,0.00001430017,0.00000888553,0.00004339113,0.00005485241,0.00003097864],"domain_scores_gemma":[0.9998922,0.00002266439,0.00001294247,0.000008595076,0.00005347302,0.000010004],"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":[0.0005021059,0.0002618798,0.009787048,0.0002056487,0.0001331261,0.0006122076,0.00004640536,0.129455,0.05448404,0.003402393,0.01505771,0.7860524],"study_design_scores_gemma":[0.00001280645,0.00007759446,0.002192487,0.00001933253,0.0000340505,0.0002852069,0.000008033164,0.9823268,0.01119466,0.0008232132,0.003013281,0.00001247062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1172096,0.005294946,0.8584607,0.001078805,0.000579517,0.0001786836,0.001320712,0.004699768,0.01117717],"genre_scores_gemma":[0.8182706,0.001765397,0.1612612,0.0006207564,0.0001492506,0.000108891,0.00163597,0.00006203537,0.0161259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01111942,"threshold_uncertainty_score":0.02210939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978113756168932,"score_gpt":0.243108208673194,"score_spread":0.2233270711115047,"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."}}