{"id":"W4395112450","doi":"10.18280/ria.380201","title":"Design of an AI Layer for Real-Time Skin Cancer Diagnosis","year":2024,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Layer (electronics); Cancer; Computer science; Skin cancer; Medicine; Materials science; Internal medicine; Nanotechnology","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":[0.0006351038,0.0006820682,0.0005283925,0.0006819759,0.000482688,0.001126055,0.001637324,0.0009805472,0.003696349],"category_scores_gemma":[0.001495257,0.0005043405,0.0007424222,0.0004166537,0.0002719388,0.001379893,0.0009430943,0.001179546,0.001965558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007232901,"about_ca_system_score_gemma":0.00101225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005342131,"about_ca_topic_score_gemma":0.005063101,"domain_scores_codex":[0.9996216,0.00003372373,0.0000345935,0.000125844,0.000115544,0.0000686384],"domain_scores_gemma":[0.9994962,0.0001066526,0.00004659686,0.00006031467,0.0002455857,0.00004465191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006166791,0.0004879182,0.008083309,0.0003860829,0.0003150321,0.0009057251,0.0003466221,0.1849395,0.1359924,0.007525471,0.01900315,0.6413981],"study_design_scores_gemma":[0.00001334948,0.00008561427,0.0012337,0.00002539791,0.00007302062,0.0001603309,0.00002986674,0.96529,0.02495102,0.002028611,0.006086413,0.00002276072],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02938813,0.0005445553,0.9515938,0.0005572854,0.0002163745,0.0001976811,0.0003133281,0.01274855,0.004440391],"genre_scores_gemma":[0.5187433,0.0005628904,0.4682381,0.000858276,0.0001272866,0.0003692605,0.0009566482,0.0002567024,0.009887532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005342131,"threshold_uncertainty_score":0.01236552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05632498220058139,"score_gpt":0.332520065853719,"score_spread":0.2761950836531376,"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."}}