{"id":"W4407938334","doi":"10.1109/areis62559.2024.10893615","title":"Machine Learning Neural Network Classifier Interfaced Skin Cancer Identification for Medical Diagnosis System","year":2024,"lang":"en","type":"article","venue":"","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Artificial neural network; Computer science; Classifier (UML); Artificial intelligence; Machine learning; Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002885231,0.0004923649,0.0004769829,0.0007841666,0.0002766006,0.0004704601,0.0006901238,0.000666728,0.005960741],"category_scores_gemma":[0.0007024927,0.0001657114,0.0003162774,0.0003068065,0.00008530379,0.0003388878,0.0003431537,0.0004464988,0.002096414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007254142,"about_ca_system_score_gemma":0.0005245351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005617178,"about_ca_topic_score_gemma":0.006759851,"domain_scores_codex":[0.9998034,0.00001655037,0.00001405252,0.0000722273,0.00006271405,0.00003117266],"domain_scores_gemma":[0.9997807,0.00003548877,0.00002296929,0.00001701986,0.0001264563,0.00001737489],"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":[0.0009313763,0.0009477899,0.01638666,0.0003645142,0.0001760935,0.0008153017,0.00008065746,0.06632753,0.07044461,0.001059978,0.03656196,0.8059036],"study_design_scores_gemma":[0.00004056585,0.0002589473,0.006857916,0.00003978712,0.00005819536,0.0003541794,0.00002783056,0.9552631,0.03046135,0.0006289797,0.005982334,0.00002667255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2740231,0.002606153,0.6584893,0.001353097,0.0009536225,0.001159677,0.005269122,0.03188743,0.02425859],"genre_scores_gemma":[0.8350945,0.0007654707,0.1335925,0.0007471698,0.0001438312,0.0006767713,0.005030129,0.0001253483,0.02382417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005960741,"threshold_uncertainty_score":0.01994061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985952313053308,"score_gpt":0.2990526079465766,"score_spread":0.2791930848160435,"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."}}