{"id":"W4391563635","doi":"10.2196/48120","title":"Association of Visceral Obesity Indices With Incident Diabetic Retinopathy in Patients With Diabetes: Prospective Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Key Laboratory of Ophthalmology; National Natural Science Foundation of China","keywords":"Medicine; Prospective cohort study; Diabetes mellitus; Diabetic retinopathy; Hazard ratio; Internal medicine; Cohort study; Proportional hazards model; Type 2 diabetes; Cohort; Anthropometry; Obesity; Endocrinology; Confidence interval","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":[0.0009518983,0.0003841053,0.0004793018,0.0007352592,0.0006225039,0.0006625705,0.0004302108,0.0004196135,0.001043711],"category_scores_gemma":[0.001391479,0.0004704103,0.0008059085,0.0016853,0.000220741,0.000369316,0.0004125566,0.0009831492,0.0001411768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919571,"about_ca_system_score_gemma":0.0005547506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009855312,"about_ca_topic_score_gemma":0.01098438,"domain_scores_codex":[0.9994023,0.0000910169,0.0000762671,0.0002135645,0.000119731,0.00009717894],"domain_scores_gemma":[0.9987949,0.0001112737,0.0005143898,0.0002059321,0.0001678304,0.0002056222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001253385,0.00002156887,0.9991947,0.000008671367,0.0001145302,0.00003613973,0.00002140618,0.00002203278,0.00007328216,0.000008778529,0.00005714055,0.0003163437],"study_design_scores_gemma":[0.00001834476,0.00006168166,0.9994295,0.000004523979,0.00009297297,0.0001063321,0.00004120182,0.000127953,0.00001783766,0.00001417214,0.00008187219,0.000003536745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983012,0.0004775822,0.0001188953,0.00003513729,0.00001006545,0.00002584391,0.0007636638,0.00000433741,0.0002631901],"genre_scores_gemma":[0.9988222,0.000179459,0.0001217651,0.00003188885,0.00001201599,0.00002880648,0.0006800184,0.000001912333,0.0001219651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009855312,"threshold_uncertainty_score":0.01959586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005634780646998042,"score_gpt":0.2394542002391385,"score_spread":0.2338194195921405,"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."}}