{"id":"W4415176787","doi":"10.18280/jesa.580807","title":"Adaptive Attention-Based U-Transnet Architecture with Optimized Metaheuristic Classifier for Early Liver Tumor Detection","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Classifier (UML); Metaheuristic; Feature extraction; Support vector machine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005725665,0.0007900146,0.000748412,0.00103482,0.0005282623,0.0009691931,0.001299173,0.001321591,0.002115897],"category_scores_gemma":[0.0008354007,0.0003185424,0.0007397626,0.0006934984,0.000359111,0.0008628511,0.0005872113,0.0007120516,0.0006147455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001161997,"about_ca_system_score_gemma":0.0009644047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290638,"about_ca_topic_score_gemma":0.01511702,"domain_scores_codex":[0.9997788,0.00003842708,0.00001382493,0.00006751306,0.00004584073,0.00005551609],"domain_scores_gemma":[0.9997411,0.00007310676,0.00002581581,0.00001821799,0.0001213103,0.00002032653],"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":[0.0004286848,0.0003401382,0.003335218,0.0001343204,0.0001994531,0.0002307597,0.0001260556,0.4564275,0.02772491,0.005547946,0.004088443,0.5014165],"study_design_scores_gemma":[0.000005912418,0.00007157127,0.0002934637,0.000006233446,0.0000189921,0.00003648259,0.00001436247,0.995359,0.002809021,0.0009032524,0.0004758569,0.000005858428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1179646,0.00147333,0.8707063,0.0004265744,0.0002131549,0.0001249114,0.0001127947,0.002194794,0.006783495],"genre_scores_gemma":[0.7814672,0.0004988197,0.2089125,0.0003830215,0.00008738472,0.000148059,0.0003060487,0.0001109874,0.008085901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01290638,"threshold_uncertainty_score":0.02566248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684493604489649,"score_gpt":0.2544427342203435,"score_spread":0.227597798175447,"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."}}