{"id":"W4307968332","doi":"10.2337/dc22-1420","title":"Optimal Frequency of Urinary Albumin Screening in Type 1 Diabetes","year":2022,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Albuminuria; Cumulative incidence; Type 2 diabetes; Diabetes mellitus; Incidence (geometry); Internal medicine; Glycated hemoglobin; Kidney disease; Renal function; Urology; Endocrinology; Cohort","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":[0.001822141,0.0003806619,0.0005651119,0.0004225437,0.0001812554,0.0003048451,0.000515815,0.0004141384,0.000662808],"category_scores_gemma":[0.007524057,0.000183436,0.000322625,0.0003296049,0.0001439598,0.0003452869,0.0003798697,0.0004070778,0.0001366482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000530204,"about_ca_system_score_gemma":0.0007363756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002508258,"about_ca_topic_score_gemma":0.001933828,"domain_scores_codex":[0.9989918,0.0004978674,0.00006127282,0.000157651,0.0001634891,0.0001278086],"domain_scores_gemma":[0.997736,0.0008864154,0.000780511,0.0001672825,0.0001328002,0.0002970139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00875994,0.004678098,0.6676562,0.000275547,0.0003154171,0.0001215911,0.0001752497,0.04999939,0.005359905,0.0003125893,0.002150757,0.2601953],"study_design_scores_gemma":[0.0009607324,0.0122321,0.9104682,0.0001334242,0.0004190674,0.0004819381,0.0001341756,0.06849323,0.004058767,0.001212263,0.001353783,0.00005232857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895866,0.001103643,0.007707003,0.0003747249,0.00004482803,0.00009403374,0.0001304962,0.0001274707,0.0008310396],"genre_scores_gemma":[0.995922,0.0001475269,0.003633583,0.00005058197,0.00003606384,0.00003450023,0.00009459443,0.000003973018,0.00007712616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002508258,"threshold_uncertainty_score":0.009636521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231110690245323,"score_gpt":0.2507317611032339,"score_spread":0.2384206542007807,"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."}}