{"id":"W7133293355","doi":"10.1109/aectsd65988.2025.11411328","title":"Enhancing Skin Cancer Detection with Hybrid Attention Networks and Triple-Force Deep Learning Model","year":2025,"lang":"","type":"article","venue":"","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Interpretability; Deep learning; Convolutional neural network; Benchmark (surveying); Skin cancer; Feature (linguistics); Process (computing); Ensemble learning","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":[0.0005363416,0.000996032,0.0005570368,0.0008334344,0.0002819456,0.0005565725,0.001286871,0.001014116,0.001433699],"category_scores_gemma":[0.000950045,0.0002775741,0.0007570841,0.0003909392,0.0002845689,0.0009466936,0.001014071,0.0008045526,0.0005132665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007279117,"about_ca_system_score_gemma":0.0006663183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008812317,"about_ca_topic_score_gemma":0.01175281,"domain_scores_codex":[0.9997506,0.000029582,0.00000849006,0.00007957109,0.00007630408,0.00005556854],"domain_scores_gemma":[0.9997192,0.00008346308,0.00003134645,0.00003125329,0.0001103802,0.00002435413],"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":[0.0002332724,0.0003437031,0.006728786,0.0001072173,0.000183506,0.0002722532,0.00009282659,0.3694985,0.02961085,0.004468183,0.006263332,0.5821975],"study_design_scores_gemma":[0.000003967195,0.00003870995,0.0005022577,0.000004946436,0.00001976803,0.00005132525,0.00000509674,0.9951133,0.002645137,0.001117881,0.0004917863,0.000005852666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06902906,0.00116598,0.922679,0.0005394868,0.0001251764,0.00006895568,0.0001992178,0.00258642,0.003606704],"genre_scores_gemma":[0.8713354,0.0005029207,0.1203695,0.0006813036,0.0001171915,0.00008674343,0.0004006105,0.00009138842,0.006414844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008812317,"threshold_uncertainty_score":0.01752204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005773732972207866,"score_gpt":0.2344001206627167,"score_spread":0.2286263876905088,"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."}}