{"id":"W4410979623","doi":"10.1016/j.xops.2025.100837","title":"Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection","year":2025,"lang":"en","type":"article","venue":"Ophthalmology Science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Investment Agriculture Foundation; National Medical Research Council; Medical Research Council; Agency for Science, Technology and Research","keywords":"Modality (human–computer interaction); Artificial intelligence; Optometry; Computer science; Computer vision; Medicine; Ophthalmology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007098541,0.0001384392,0.0004042226,0.0004174983,0.0002876334,0.00002814564,0.0002070055,0.000044689,0.000007037499],"category_scores_gemma":[0.0004099096,0.0001154948,0.0001541378,0.0005980339,0.0005445528,0.0001169899,0.00004412113,0.0002050143,0.000001364968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009124909,"about_ca_system_score_gemma":0.0001584117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001343716,"about_ca_topic_score_gemma":0.00000129181,"domain_scores_codex":[0.9985488,0.00007772726,0.0003366937,0.0004653457,0.0002502535,0.0003211513],"domain_scores_gemma":[0.9990232,0.0001566659,0.0001653421,0.0002637487,0.0003049303,0.00008611999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001266377,0.0003541355,0.2901204,0.000118705,0.0000309012,0.00001988034,0.0001402552,0.02012108,0.6803432,0.00005417849,8.745607e-7,0.008569732],"study_design_scores_gemma":[0.0005092332,0.0001641163,0.03922193,0.00006180794,0.0001258308,0.00002776659,0.0002334178,0.8182017,0.1411758,0.0001889853,0.00000625577,0.00008311613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6763272,0.00007683761,0.3227378,0.0003101482,0.00007443476,0.000165233,0.000001085378,0.00002276619,0.0002844639],"genre_scores_gemma":[0.9929682,0.00000232603,0.00677969,0.00004492923,0.00001210197,0.00002702741,0.000009641927,0.000007624305,0.0001484784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7980807,"threshold_uncertainty_score":0.4709741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04445422838680201,"score_gpt":0.3849315190575469,"score_spread":0.3404772906707449,"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."}}