{"id":"W4286321412","doi":"10.1016/j.jcjd.2022.04.008","title":"Association of Atherogenic Index of Plasma With Retinopathy and Nephropathy in Adult Patients With Type 2 Diabetes Mellitus Aged >18 Years","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Nephropathy; Internal medicine; Retinopathy; Type 2 Diabetes Mellitus; Diabetic retinopathy; Diabetes mellitus; Index (typography); Association (psychology); Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003945913,0.00009982321,0.0004149902,0.0004308776,0.00004343157,0.00001125064,0.00008562677,0.00003500438,0.00007142494],"category_scores_gemma":[0.0002219664,0.00008163152,0.00005824527,0.0005214504,0.00007965599,0.00006647961,0.00001027512,0.0002646818,3.157948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794573,"about_ca_system_score_gemma":0.0004116867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002990528,"about_ca_topic_score_gemma":0.001372668,"domain_scores_codex":[0.9988363,0.0001144297,0.0003453867,0.0001074927,0.000361485,0.000234876],"domain_scores_gemma":[0.9986812,0.00008067762,0.0005253127,0.0001074121,0.0003904026,0.0002149292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005252513,0.00004743194,0.9964284,0.00004459601,0.0002304592,0.00001555213,0.0005877584,0.00008582315,0.0006129048,0.000001720525,0.0001440972,0.001748725],"study_design_scores_gemma":[0.00215711,0.001519093,0.9938995,0.0002863686,0.0003098375,0.000002101398,0.0004026019,0.0001832204,0.0009813183,0.0000165002,0.0001468598,0.00009550175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989544,0.0006646286,3.464299e-7,0.0001720561,0.00004169466,0.00008420656,0.00002706925,0.000001935087,0.0000536404],"genre_scores_gemma":[0.9996704,0.0000179826,0.0001126298,0.0000946355,0.00001986627,0.000001956979,0.0000110375,0.00001769936,0.00005372998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00252892,"threshold_uncertainty_score":0.3328837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003868452726353765,"score_gpt":0.1844580068004611,"score_spread":0.1805895540741073,"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."}}