{"id":"W4211021264","doi":"10.1016/j.xkme.2022.100435","title":"Emerging Role of Clinical Genetics in CKD","year":2022,"lang":"en","type":"review","venue":"Kidney Medicine","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Genetic testing; Exome sequencing; DNA sequencing; Medicine; Genetic counseling; Bioinformatics; Disease; Kidney disease; Intensive care medicine; Computational biology; Genetics; Biology; Mutation; Internal medicine; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006277746,0.0002237293,0.001180898,0.0001121764,0.00002196657,0.000001159418,0.0003180852,0.0003807786,0.00034556],"category_scores_gemma":[0.0005319248,0.0001580643,0.000307903,0.0002427515,0.0001478116,5.426988e-7,0.0001597635,0.0004882885,0.000004189273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002084873,"about_ca_system_score_gemma":0.00061113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003667571,"about_ca_topic_score_gemma":0.000003167816,"domain_scores_codex":[0.997955,0.0002216786,0.00103979,0.0003809292,0.0002066069,0.0001960475],"domain_scores_gemma":[0.9989612,0.00004125973,0.0004023648,0.0003776722,0.00002157021,0.000195953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001591009,0.0000350942,0.00006285786,0.002089598,0.0001768606,0.00001172823,0.00002491103,0.000003835848,0.0001040716,0.000009899141,0.01152194,0.9859433],"study_design_scores_gemma":[0.0004626334,0.0003091003,0.000004503627,0.002989695,0.0002678937,0.00002016921,0.00004008375,0.00000585936,0.00003258116,0.00001589605,0.9956965,0.0001550454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006944502,0.9924982,0.000003874367,0.00009239963,0.0007606,0.0002223613,0.00002634334,0.000004015053,0.006322811],"genre_scores_gemma":[0.00003674068,0.9974638,0.00003693841,0.0002523781,0.0008148479,0.00003172286,0.000616961,0.00003491665,0.0007116786],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9857882,"threshold_uncertainty_score":0.6445677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004155659337243,"score_gpt":0.4065582512069994,"score_spread":0.3565166946136269,"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."}}