{"id":"W4408010945","doi":"10.18280/isi.300210","title":"Classification Model of Skin Cancer Using Convolutional Neural Network","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Artificial neural network; Skin cancer; Cancer; Pattern recognition (psychology); Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001926701,0.0005438461,0.0004573438,0.0007086878,0.0002219806,0.000499677,0.0008525517,0.0007143629,0.001822343],"category_scores_gemma":[0.0003480411,0.0002403986,0.0006762801,0.0004313964,0.0001851161,0.0003631541,0.0002856862,0.0005591284,0.0005979303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008110463,"about_ca_system_score_gemma":0.0006232962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02626985,"about_ca_topic_score_gemma":0.01985869,"domain_scores_codex":[0.9998931,0.000009079169,0.000004608666,0.00004239154,0.00002175518,0.00002902202],"domain_scores_gemma":[0.9998831,0.00003167399,0.00001764762,0.000008258881,0.0000498175,0.000009565725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003434498,0.0002426126,0.01810502,0.0001600038,0.000198955,0.0004570565,0.00007666179,0.8076532,0.01509051,0.00449193,0.006082089,0.1470985],"study_design_scores_gemma":[0.000002252437,0.00001225692,0.001350107,0.000003575463,0.00001436119,0.00003282699,0.000002669937,0.9974688,0.0005546743,0.0003701814,0.0001845206,0.00000378441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5164719,0.004906005,0.4616554,0.001663656,0.0005064314,0.0001222394,0.002416873,0.002083299,0.01017421],"genre_scores_gemma":[0.9755341,0.0007374898,0.0115875,0.0001173466,0.00007643206,0.00005950412,0.0009930816,0.00003080445,0.01086388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02626985,"threshold_uncertainty_score":0.05223387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125334567992241,"score_gpt":0.2778793860220627,"score_spread":0.2466260403421403,"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."}}