{"id":"W4404889068","doi":"10.62527/joiv.8.3-2.3081","title":"Enhancing Early Detection of Melanoma: A Deep Learning Approach for Skin Cancer Prediction","year":2024,"lang":"en","type":"article","venue":"JOIV International Journal on Informatics Visualization","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Skin cancer; Melanoma; Deep learning; Artificial intelligence; Cancer; Dermatology; Computer science; Medicine; Internal medicine; Cancer research","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":[0.0003801401,0.0005400162,0.0003393602,0.0008361548,0.0002005365,0.0005045602,0.0005953083,0.0006086552,0.001083803],"category_scores_gemma":[0.00101397,0.0002285012,0.0004711903,0.0003242398,0.0001832895,0.0005416207,0.0006595819,0.0007550702,0.0003355198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027254,"about_ca_system_score_gemma":0.0005727062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006057051,"about_ca_topic_score_gemma":0.008008656,"domain_scores_codex":[0.9998338,0.00003316828,0.000008488808,0.00004486389,0.0000409111,0.00003873326],"domain_scores_gemma":[0.9997831,0.00007188733,0.00003032728,0.00002422227,0.00006149781,0.00002907914],"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":[0.000460907,0.0006169406,0.02897401,0.000202279,0.0001179369,0.0006766294,0.0001682171,0.2228418,0.03484022,0.002416871,0.008697174,0.699987],"study_design_scores_gemma":[0.000008041852,0.00007552774,0.002888764,0.00002651508,0.00002215215,0.0001366893,0.00002662978,0.9874651,0.00626927,0.001783144,0.001289466,0.00000866887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3708467,0.003584263,0.6136172,0.001687397,0.0001788048,0.000199384,0.000869773,0.003269577,0.005746829],"genre_scores_gemma":[0.8972606,0.0009917017,0.09704483,0.0003081885,0.00006381501,0.00005354773,0.000808207,0.00005983317,0.003409198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006057051,"threshold_uncertainty_score":0.0120436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124500372619906,"score_gpt":0.302335863533558,"score_spread":0.2898858262715673,"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."}}