{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005771327,0.0004985672,0.0007580456,0.001198727,0.000319102,0.0005185782,0.0004499152,0.0004210967,0.00108253],"category_scores_gemma":[0.0008705113,0.0001835914,0.000736198,0.0006707055,0.0001624671,0.0002719116,0.0003202045,0.0004267323,0.0004591796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609969,"about_ca_system_score_gemma":0.0006572514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003900738,"about_ca_topic_score_gemma":0.004051873,"domain_scores_codex":[0.9997365,0.00003582599,0.00002094618,0.00005873482,0.0001033092,0.00004464782],"domain_scores_gemma":[0.9996538,0.00009506413,0.00002432691,0.00002287356,0.0001813735,0.00002252306],"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":[0.0007147299,0.0002263741,0.005359407,0.0001316876,0.0001030372,0.0002119877,0.0000665005,0.01343877,0.125901,0.0008520759,0.004619064,0.8483753],"study_design_scores_gemma":[0.00007026889,0.0003994169,0.03970418,0.00003306055,0.0002161687,0.0008016809,0.00007396056,0.8694612,0.08265176,0.0009014662,0.0056298,0.00005696662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1710357,0.001745968,0.8239029,0.0002304278,0.0001743986,0.00008155785,0.0003066532,0.001328709,0.001193686],"genre_scores_gemma":[0.7121792,0.0009893802,0.2792254,0.0001346667,0.0001075424,0.0001081747,0.001092227,0.0001112162,0.006052221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003900738,"threshold_uncertainty_score":0.007756054,"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."}}