{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008236913,0.0004165553,0.0004691632,0.000666386,0.0005425365,0.0004779591,0.0002480721,0.0003730733,0.001185421],"category_scores_gemma":[0.002006008,0.0002530415,0.0006107987,0.0009959039,0.0002934492,0.0001880782,0.0003774997,0.0004383674,0.00009843017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077333,"about_ca_system_score_gemma":0.0002971684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01679615,"about_ca_topic_score_gemma":0.0116775,"domain_scores_codex":[0.9995319,0.0001541583,0.0000447767,0.0001274948,0.00008285476,0.00005888768],"domain_scores_gemma":[0.9991177,0.0001698344,0.0002324414,0.0001100638,0.0001599461,0.0002099572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009686777,0.00001510686,0.9984002,0.000006517809,0.0001574884,0.000092865,0.00006824904,0.00004548504,0.0003834845,0.00001639842,0.00006324822,0.0006542748],"study_design_scores_gemma":[0.000009102973,0.00005341921,0.9988404,0.000002587207,0.0001237237,0.0001794738,0.00008418829,0.000535344,0.0000309954,0.00003013204,0.0001064724,0.000004165491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994698,0.0001352097,0.0001345375,0.0000320288,0.000005335863,0.000003797031,0.00008417357,0.000002281584,0.0001327179],"genre_scores_gemma":[0.9995914,0.0000483664,0.0001208831,0.00001464383,0.000006821819,0.000004555254,0.0001150077,0.000001776809,0.00009656574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01679615,"threshold_uncertainty_score":0.03339678,"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."}}