{"id":"W4286715637","doi":"10.1016/j.eclinm.2022.101578","title":"Development and validation of predictive risk models for sight threatening diabetic retinopathy in patients with type 2 diabetes to be applied as triage tools in resource limited settings","year":2022,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"National Institute for Health Research Applied Research Collaboration West; Moorfields Eye Hospital NHS Foundation Trust; Department of Health and Social Care; National Institute for Health and Care Research; Barts Charity; UK Research and Innovation; UCL Institute of Ophthalmology, University College London; Boehringer Ingelheim; Australian Research Council; Wellcome Trust; Roche","keywords":"Medicine; Diabetic retinopathy; Type 2 diabetes; Population; Statistic; Diabetes mellitus; Triage; Retinopathy; Optometry; Pediatrics; Emergency medicine; Statistics; Environmental health; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01658394,0.001431862,0.001132855,0.001949559,0.0005619194,0.002309618,0.002137813,0.001272405,0.003528265],"category_scores_gemma":[0.04597372,0.0007165106,0.002705882,0.001181675,0.0004331294,0.001071005,0.001631655,0.002795607,0.0006651373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872206,"about_ca_system_score_gemma":0.003437611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272959,"about_ca_topic_score_gemma":0.01680158,"domain_scores_codex":[0.9965143,0.002279799,0.0002231048,0.0005155608,0.0002539768,0.0002133299],"domain_scores_gemma":[0.9673634,0.02702293,0.001805596,0.001145832,0.002108389,0.0005538962],"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":[0.001109865,0.0007776539,0.4872948,0.0004066562,0.001574346,0.000480599,0.0004192657,0.4455002,0.0004097913,0.00221679,0.008313448,0.05149656],"study_design_scores_gemma":[0.0001590606,0.0003510311,0.03868982,0.0002578759,0.0004000157,0.0001595785,0.0002213976,0.9540974,0.0003212833,0.00359753,0.001698707,0.00004616565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298928,0.002972597,0.1450417,0.005897601,0.0004822012,0.0008207142,0.009554766,0.001419474,0.003918285],"genre_scores_gemma":[0.9527753,0.0005962692,0.03858889,0.0004342115,0.0001092564,0.0005789784,0.005844618,0.00006379389,0.001008753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02272959,"threshold_uncertainty_score":0.08770537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078890929670616,"score_gpt":0.2807183536568961,"score_spread":0.24992944436019,"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."}}