{"id":"W4392349136","doi":"10.18280/ts.410117","title":"Deep Learning-Based Classification of Melanoma and Non-Melanoma Skin Cancer","year":2024,"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":"Melanoma; Skin cancer; Medicine; Dermatology; Artificial intelligence; Cancer; Cancer research; Computer science; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001746157,0.0001405654,0.0002032563,0.0002086623,0.00005487724,0.00003466574,0.00004501595,0.00005932906,0.001502854],"category_scores_gemma":[0.000008309299,0.0001231011,0.00008139661,0.0001832338,0.00005779292,0.00004125004,0.0000172985,0.0001439638,0.00003097983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009005972,"about_ca_system_score_gemma":0.00005674675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007411528,"about_ca_topic_score_gemma":0.00005085618,"domain_scores_codex":[0.9989849,0.00003271526,0.0002796045,0.0002763771,0.0002627604,0.0001636601],"domain_scores_gemma":[0.9996238,0.00005448216,0.00006467567,0.0001110628,0.00005078429,0.00009519114],"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":[0.001469435,0.0008063527,0.03342124,0.003226251,0.001070745,0.0004902605,0.002594144,0.003095486,0.2049526,0.00232948,0.004701898,0.7418422],"study_design_scores_gemma":[0.003290239,0.002418964,0.2913417,0.0006072609,0.0006888742,0.0001226969,0.0008182984,0.5635338,0.01869866,0.00006686935,0.1179861,0.0004265228],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972385,0.0009940492,0.02005631,0.001585693,0.0002709313,0.000631706,0.000007583211,0.0001521694,0.00391658],"genre_scores_gemma":[0.9981039,0.00007454881,0.0002028947,0.0001676458,0.0001742658,0.00007867641,0.00002840384,0.00002385091,0.001145848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7414156,"threshold_uncertainty_score":0.9994099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378174640123971,"score_gpt":0.2591093731220326,"score_spread":0.2453276267207929,"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."}}