{"id":"W4224239632","doi":"10.1016/j.ekir.2022.04.013","title":"ACLY and CKD: A Mendelian Randomization Analysis","year":2022,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Impact; Thrombosis and Atherosclerosis Research Institute; Population Health Research Institute; McMaster University","funders":"Canadian Institutes of Health Research; Esperion Therapeutics; Medical Research Council; Novo Nordisk; Kidney Foundation of Canada; Canadian Society of Nephrology; Diabetes Canada","keywords":"Medicine; Mendelian randomization; Kidney disease; Internal medicine; Renal function; Endocrinology; Bioinformatics; Genetics; Biology; Genotype; Gene; Genetic variants","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002723068,0.00009068006,0.0002094318,0.0003280559,0.000110032,0.00002909059,0.00004704578,0.00002609786,0.004178492],"category_scores_gemma":[0.0007947853,0.00008708012,0.0001582982,0.0003329814,0.00002590815,0.00007741616,0.00009676325,0.0001236567,0.000004108244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001565308,"about_ca_system_score_gemma":0.0003316743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006235767,"about_ca_topic_score_gemma":0.00000155792,"domain_scores_codex":[0.9987135,0.00003166071,0.0003107494,0.0002825155,0.0005358289,0.0001257356],"domain_scores_gemma":[0.9992203,0.00003657523,0.0001565039,0.0002014287,0.0001018804,0.0002832982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007116169,0.0004523227,0.5987829,0.00005290941,0.005338827,0.00304888,0.0004157887,0.0004833539,0.003005476,0.0007670808,0.3841122,0.002828619],"study_design_scores_gemma":[0.008281257,0.0001640923,0.06041321,0.00003261987,0.00337146,0.001369706,0.0002560648,0.01726456,0.001165887,0.002411895,0.9049106,0.0003587038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7685165,0.0005733338,0.001228837,0.1674231,0.001398618,0.0008722756,0.0002539086,0.0002541783,0.05947918],"genre_scores_gemma":[0.9688376,0.00001798503,0.0001938771,0.02673496,0.0001541887,0.00007988314,0.001187123,0.00001114722,0.002783263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5383697,"threshold_uncertainty_score":0.9967318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006137871250117031,"score_gpt":0.2594946998864499,"score_spread":0.2533568286363329,"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."}}