{"id":"W4213147433","doi":"10.2196/preprints.23538","title":"Diagnostic Accuracy of Detecting Diabetic Retinopathy by Using Digital Fundus Photographs in the Peripheral Health Facilities of Bangladesh: Validation Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Diabetic retinopathy; Medicine; Optometry; Fundus (uterus); Gold standard (test); Cohen's kappa; Retinopathy; Ophthalmology; Kappa; Diabetes mellitus; Logistic regression; Receiver operating characteristic; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009807136,0.0003212039,0.001034508,0.0002537384,0.00006595606,0.0001107232,0.0002793252,0.00009757818,0.00007204346],"category_scores_gemma":[0.003045534,0.0002406412,0.0003482373,0.0005387529,0.0001372557,0.0001005367,0.0003029049,0.0007687807,0.000001224685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092425,"about_ca_system_score_gemma":0.0002148263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005564923,"about_ca_topic_score_gemma":0.00003161609,"domain_scores_codex":[0.9968939,0.0004349961,0.001157855,0.0005846917,0.0006354825,0.0002930943],"domain_scores_gemma":[0.9971508,0.001172346,0.0007469162,0.0006570744,0.0001749916,0.0000978321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001203197,0.001010075,0.9320737,0.002746553,0.0003378686,0.00002961885,0.04309541,0.001208972,0.004043335,0.000001929023,0.00004979147,0.01528246],"study_design_scores_gemma":[0.006699464,0.004651355,0.2845159,0.009322861,0.002077802,0.0001210387,0.5920564,0.04307335,0.05447035,0.0009962748,0.00008351688,0.001931758],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955596,0.0005108943,0.001415307,0.0004091883,0.00006451218,0.001578382,0.0000833182,0.00004499888,0.0003337785],"genre_scores_gemma":[0.9993458,0.00007775265,0.0002175376,0.00008220887,0.00004436661,0.00005716584,0.0001058115,0.00002634893,0.00004299802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6475578,"threshold_uncertainty_score":0.9813065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04714227865448326,"score_gpt":0.325082997017042,"score_spread":0.2779407183625587,"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."}}