{"id":"W4415974696","doi":"10.1016/j.procs.2025.10.061","title":"DeepRet: A Portable and Multimodal AI System for Enhancing Glaucoma Diagnosis in Resource-Limited Settings","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glaucoma; Scalability; Bridge (graph theory); Healthcare system; Health care; Usability","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008112847,0.0001266812,0.0002935729,0.0004644218,0.0001797352,0.0001371844,0.0001843981,0.00003765025,8.599289e-7],"category_scores_gemma":[0.0002851221,0.0001100529,0.00005136341,0.001311382,0.0001590619,0.0001827872,0.0001307147,0.000128286,0.000001399961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009755506,"about_ca_system_score_gemma":0.0001852539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005741439,"about_ca_topic_score_gemma":0.00001479694,"domain_scores_codex":[0.9985549,0.00001520321,0.0002884656,0.0005475261,0.0002336714,0.0003602217],"domain_scores_gemma":[0.9992252,0.0001837399,0.00007027843,0.0002026126,0.0002004218,0.0001177709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006355769,0.0001070421,0.9414045,0.001466488,0.00002989781,0.00003337083,0.001301669,0.00006739188,0.005252294,0.0003136898,0.00110029,0.04885982],"study_design_scores_gemma":[0.001270282,0.000125266,0.1014547,0.002203229,0.000105793,0.00005950696,0.0003198083,0.8691459,0.02329095,0.00008687302,0.001726265,0.0002114352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656896,0.0003555514,0.1292427,0.003816742,0.0001095643,0.0004403982,0.000001818385,0.000104899,0.0002386518],"genre_scores_gemma":[0.970471,0.000007066431,0.0276772,0.001585394,0.00007314848,0.00009497305,0.000002760412,0.000007144583,0.00008126915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8690785,"threshold_uncertainty_score":0.4487826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005393377797493066,"score_gpt":0.2648022505694321,"score_spread":0.259408872771939,"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."}}