{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001011909,0.0002400886,0.000239584,0.0001000685,0.00004017641,0.00003629769,0.0002749431,0.0001102921,0.000172598],"category_scores_gemma":[0.0001719955,0.0002245644,0.0001419125,0.0001889342,0.00006189143,0.000005728007,0.0001225785,0.00009081604,0.0002781885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008260328,"about_ca_system_score_gemma":0.0002796179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004135298,"about_ca_topic_score_gemma":0.000001853272,"domain_scores_codex":[0.9985949,0.00009113808,0.0002451182,0.0005051829,0.0001765542,0.0003871147],"domain_scores_gemma":[0.9988165,0.0000105432,0.00007472151,0.0004383117,0.00006453185,0.0005953741],"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":[0.0003664972,0.0002182335,0.02193125,0.0001006982,0.00003058424,0.00001990661,0.00003648059,0.00004365698,0.9650098,0.00006393955,0.01201796,0.0001609964],"study_design_scores_gemma":[0.003988174,0.0001564292,0.2337516,0.00008545609,0.0002407923,0.0000077705,0.0001343751,0.0001463348,0.5661256,0.001040904,0.1932548,0.001067707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886085,0.006447466,0.00009068812,0.0002429832,0.0005791095,0.0002994724,0.0001727705,0.00001905715,0.003539979],"genre_scores_gemma":[0.9942836,0.0004362462,0.0002283622,0.001325708,0.0003728346,0.00004067682,0.0003486039,0.00003848677,0.002925527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3988842,"threshold_uncertainty_score":0.9157469,"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."}}