{"id":"W7127268913","doi":"10.1109/ccece64018.2025.11364491","title":"Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers","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":"University of Victoria","funders":"","keywords":"Conformal map; Transformer; Ensemble learning; Domain adaptation; Deep learning; Pattern recognition (psychology); Domain (mathematical analysis)","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":[0.0007715487,0.0007896952,0.0008682394,0.0009155985,0.0002682498,0.0008076256,0.001033756,0.0006569442,0.0008148735],"category_scores_gemma":[0.002186313,0.0002660577,0.0009742122,0.0005452919,0.0003651247,0.001025432,0.00117842,0.001091429,0.0004202242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004975435,"about_ca_system_score_gemma":0.0006201912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488985,"about_ca_topic_score_gemma":0.004213135,"domain_scores_codex":[0.9995987,0.00007914642,0.00001613481,0.0001402405,0.0001041166,0.00006170764],"domain_scores_gemma":[0.9994337,0.0001615744,0.00005757563,0.0001226372,0.0001725934,0.00005189821],"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":[0.0002469292,0.0001722943,0.01402239,0.0000646696,0.0001630393,0.0001983568,0.0001167875,0.3853112,0.0169914,0.003767552,0.005159582,0.5737858],"study_design_scores_gemma":[0.000005244752,0.00003951819,0.0006164812,0.000004790486,0.00001647901,0.0000698346,0.00001669989,0.994077,0.002781989,0.002006304,0.0003593623,0.000006296716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1938464,0.0007745429,0.7989807,0.0003646998,0.00009925434,0.00008109144,0.0002545643,0.002439838,0.003158814],"genre_scores_gemma":[0.9439825,0.0002296776,0.05333495,0.0001897273,0.00004358505,0.00003010354,0.0005372433,0.00008713075,0.001565112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003488985,"threshold_uncertainty_score":0.006937385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792030540093264,"score_gpt":0.2829893972370174,"score_spread":0.2650690918360847,"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."}}