{"id":"W2889533069","doi":"10.1111/nep.13479","title":"Association of genetic risk score and chronic kidney disease in a Japanese population","year":2018,"lang":"en","type":"article","venue":"Nephrology","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Japan Society for the Promotion of Science","keywords":"Medicine; Kidney disease; Odds ratio; Confidence interval; Internal medicine; Population; Logistic regression; Diabetes mellitus; Cohort; Demography; Type 2 diabetes; Endocrinology; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173756,0.00008204313,0.0002045004,0.0001092533,0.00002775847,0.000003396455,0.00002999111,0.0001004991,0.0002761471],"category_scores_gemma":[0.0005925141,0.00007724044,0.00003747918,0.0001257357,0.00007968555,0.0000389832,0.0000267583,0.00008297992,0.00001997147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171979,"about_ca_system_score_gemma":0.0002402992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004315452,"about_ca_topic_score_gemma":0.0002819156,"domain_scores_codex":[0.999215,0.0000714897,0.0002109998,0.0001878983,0.0001132447,0.0002013778],"domain_scores_gemma":[0.9993488,0.00005463159,0.0001255573,0.0001696723,0.00005642118,0.0002449766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002202349,0.00007887269,0.994401,0.00009826237,0.0000380935,0.000005810403,0.0001536534,0.000003850114,0.001468632,0.00002004258,0.001984446,0.00152715],"study_design_scores_gemma":[0.00240237,0.0003448466,0.9924054,0.0000508143,0.0002150064,0.000001621247,0.000007481164,0.002353454,0.00007800234,0.0005830904,0.001497044,0.00006082764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975333,0.000945024,0.000003386677,0.001017921,0.00007124329,0.0002278318,0.00003159829,0.00001836741,0.0001513067],"genre_scores_gemma":[0.9980556,0.0001477094,0.00005142589,0.001208286,0.0003200194,0.00001449781,0.00007428077,0.000009987142,0.0001181875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002349604,"threshold_uncertainty_score":0.3149774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006981438090143461,"score_gpt":0.2483641230377344,"score_spread":0.2413826849475909,"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."}}