{"id":"W4286457271","doi":"10.3389/fendo.2022.915575","title":"Plasma Apolipoproteins Predicting the Occurrence and Severity of Diabetic Retinopathy in Patients With Type 2 Diabetes Mellitus","year":2022,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; National Natural Science Foundation of China","keywords":"Internal medicine; Endocrinology; Medicine; Diabetes mellitus; Body mass index; Glycated hemoglobin; Diabetic retinopathy; Type 2 Diabetes Mellitus; Apolipoprotein B; Lipid profile; Cholesterol; Type 2 diabetes","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007614779,0.0005111246,0.0004405483,0.0008150075,0.0004308913,0.0006240493,0.0002355772,0.0005750413,0.001544703],"category_scores_gemma":[0.002201109,0.0003253757,0.0004167932,0.0007682944,0.0002217935,0.0003714731,0.0002922052,0.0007514553,0.0002441623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300469,"about_ca_system_score_gemma":0.0001474569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001263637,"about_ca_topic_score_gemma":0.001226763,"domain_scores_codex":[0.9996185,0.0001159247,0.00006104585,0.00008617823,0.00007571696,0.0000426081],"domain_scores_gemma":[0.9985782,0.0003778443,0.0005699613,0.00008432624,0.0001139464,0.0002757993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002055725,0.00004316873,0.998719,0.000004442949,0.00004737365,0.00006976024,0.00001609578,0.00002764812,0.0002274228,0.00000568457,0.00003393439,0.0005999919],"study_design_scores_gemma":[0.00001629154,0.0001566328,0.9986666,0.000004516463,0.00005871288,0.0004888503,0.0000650621,0.0003862613,0.00006459126,0.00001888297,0.00007041066,0.000003084125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989663,0.0004039513,0.0001160814,0.00003780019,0.00001294327,0.000006295556,0.00008316123,0.000005430712,0.0003679482],"genre_scores_gemma":[0.999526,0.00008062673,0.0001184745,0.00001880779,0.00002148571,0.000004319724,0.00009457384,0.000001589223,0.000134174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001544703,"threshold_uncertainty_score":0.005167603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005500642296438423,"score_gpt":0.2098524802303704,"score_spread":0.204351837933932,"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."}}