{"id":"W2981186198","doi":"10.1016/j.cmet.2019.09.012","title":"Ketosis Ameliorates Renal Cyst Growth in Polycystic Kidney Disease","year":2019,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":215,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Department of Veterans Affairs; University of Kansas Medical Center; National Institutes of Health; National Center for Advancing Translational Sciences; University of Alabama; Chinook Therapeutics; University of Missouri; Emory University; Office of Research and Development; School of Dental Medicine, University of Pittsburgh; University of Alabama at Birmingham; University of California, Santa Barbara","keywords":"Polycystic kidney disease; Endocrinology; Internal medicine; Ketogenic diet; Medicine; Kidney disease; Ketosis; Kidney; Calorie; Ketone bodies; Cyst; Pathology; Metabolism; Diabetes mellitus","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002333762,0.0005872549,0.001095757,0.000578573,0.0004529873,0.0004536854,0.0006569279,0.0006829316,0.003202059],"category_scores_gemma":[0.0003910348,0.0002182138,0.000367739,0.0003282505,0.0005302775,0.0004878873,0.0005577931,0.001559439,0.0003908965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285393,"about_ca_system_score_gemma":0.0006184419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185382,"about_ca_topic_score_gemma":0.001884573,"domain_scores_codex":[0.9997783,0.00005624192,0.00003614601,0.00002669213,0.00004852589,0.00005416439],"domain_scores_gemma":[0.9995285,0.00003862687,0.00006879938,0.00004287969,0.00005467768,0.0002665938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.07194217,0.005473403,0.004469724,0.0007619516,0.0003960895,0.001434835,0.0002066474,0.0008285011,0.8600245,0.0009045302,0.0009330834,0.05262465],"study_design_scores_gemma":[0.01255719,0.03701079,0.07051292,0.0002217712,0.001133743,0.003263691,0.0008930819,0.00459127,0.8467712,0.002188136,0.02070492,0.0001512211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930885,0.002602539,0.001349463,0.0003621715,0.0002038507,0.00006099632,0.0003921672,0.0002856056,0.001654583],"genre_scores_gemma":[0.9944974,0.001300517,0.00105516,0.0001373507,0.00004506845,0.00004366552,0.0004305771,0.0000414361,0.00244895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003202059,"threshold_uncertainty_score":0.01071191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003867501017177152,"score_gpt":0.1999915658979168,"score_spread":0.1961240648807396,"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."}}