{"id":"W4416250744","doi":"10.1109/ijcnn64981.2025.11228202","title":"UMGen: Multi-scale and Multi-region Joint Prediction Pipeline for Uveal Melanoma Prognosis-related Gene Subtyping","year":2025,"lang":"","type":"article","venue":"","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Capital Health","keywords":"Subtyping; Classifier (UML); Melanoma; Boosting (machine learning); Discriminative model; Pipeline (software); Gene; Categorization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001038074,0.001550646,0.001190634,0.001494188,0.0005684756,0.0007450446,0.001513846,0.001169251,0.003022454],"category_scores_gemma":[0.001909614,0.0005411668,0.001490372,0.0009916632,0.0002642023,0.0009298075,0.001269769,0.0012634,0.001501016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076311,"about_ca_system_score_gemma":0.001404902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0171067,"about_ca_topic_score_gemma":0.02313914,"domain_scores_codex":[0.9995182,0.00006641907,0.00002643937,0.0002105597,0.0001061955,0.00007226484],"domain_scores_gemma":[0.9996033,0.0001276658,0.00003529527,0.00007449589,0.0001093454,0.00004980864],"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":[0.001177419,0.0004853765,0.03452213,0.000443389,0.0005539527,0.000900686,0.0002220961,0.1164164,0.04261627,0.001996541,0.05962358,0.7410421],"study_design_scores_gemma":[0.00004240827,0.0001040955,0.003850745,0.0000166768,0.00008637495,0.00014842,0.00004016536,0.9768161,0.01057998,0.002899495,0.005385433,0.00003017409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0923562,0.002824752,0.8174768,0.001075126,0.0002989096,0.0004539136,0.007091677,0.07572395,0.002698565],"genre_scores_gemma":[0.5080125,0.0008819484,0.4582313,0.0008955535,0.0001539756,0.0005561573,0.02313715,0.001381866,0.006749447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0171067,"threshold_uncertainty_score":0.03401423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521606728335994,"score_gpt":0.2998975652009674,"score_spread":0.2646814979176074,"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."}}