{"id":"W7117539553","doi":"10.18280/ts.420616","title":"Differentiation Filtered Feature Selection Method for Diabetic Retinopathy Detection from Fundus Images","year":2025,"lang":"","type":"article","venue":"Traitement du signal","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diabetic retinopathy; Fundus (uterus); Feature selection; Selection (genetic algorithm); Feature (linguistics); Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008359831,0.0005409245,0.0008335718,0.0005679335,0.0005271245,0.0002710943,0.0001816594,0.0003092256,0.0008780778],"category_scores_gemma":[0.0002369227,0.0005176616,0.0006011907,0.0008698282,0.0000717482,0.0002075934,0.00004713269,0.0005620539,0.00001935677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742972,"about_ca_system_score_gemma":0.0001180106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002722224,"about_ca_topic_score_gemma":0.00004061004,"domain_scores_codex":[0.9965145,0.0005414019,0.0008097941,0.0009947815,0.0005152032,0.000624313],"domain_scores_gemma":[0.9980319,0.0005740849,0.0004312283,0.0003122921,0.00047081,0.0001797345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001414807,0.0005527683,0.009566381,0.0005530526,0.001555326,0.000005375579,0.0004118145,0.000262213,0.7268007,0.00003476149,0.004324229,0.2545186],"study_design_scores_gemma":[0.005611595,0.001021344,0.09751487,0.001077553,0.008160488,0.000005549484,0.0005038939,0.3691553,0.5123862,0.001108667,0.002908024,0.0005464971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2107704,0.00144415,0.7813671,0.003752972,0.0009055894,0.001182687,0.0001843694,0.0001369793,0.0002557618],"genre_scores_gemma":[0.9806321,0.0001348286,0.01126494,0.0005195359,0.001224782,0.0002492256,0.0005619699,0.00005044747,0.005362224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7701022,"threshold_uncertainty_score":0.9997275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130323754462754,"score_gpt":0.2868823075179524,"score_spread":0.2755790699733249,"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."}}