{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05723537,0.003556901,0.006751778,0.004007156,0.00175427,0.00223685,0.004451585,0.003676879,0.02037917],"category_scores_gemma":[0.0649225,0.001587804,0.008756899,0.003704059,0.002283747,0.001635127,0.002046771,0.002601175,0.001081068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206793,"about_ca_system_score_gemma":0.001998038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00668,"about_ca_topic_score_gemma":0.002478274,"domain_scores_codex":[0.8856684,0.08531955,0.002555928,0.01746928,0.006179978,0.00280688],"domain_scores_gemma":[0.9399095,0.04563118,0.00478215,0.007402663,0.001281326,0.0009932278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1357532,0.002880048,0.5550556,0.002129888,0.1122662,0.0137823,0.001543085,0.02792142,0.01114783,0.04068833,0.01620829,0.08062392],"study_design_scores_gemma":[0.03083832,0.01686615,0.2257929,0.0004635635,0.04352417,0.01070128,0.000671207,0.6264121,0.002543352,0.02891149,0.01263964,0.0006358676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7346812,0.002930925,0.2447791,0.001565256,0.0008154159,0.004561678,0.005661852,0.00201441,0.002990249],"genre_scores_gemma":[0.8989733,0.0004219656,0.09036636,0.0004537061,0.0001875949,0.004323582,0.001736428,0.000239867,0.003297018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05723537,"threshold_uncertainty_score":0.3026932,"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."}}