{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177684,0.0005616375,0.001024325,0.001743406,0.0002625423,0.001263929,0.000696442,0.001258175,0.002787453],"category_scores_gemma":[0.002218795,0.0002059998,0.0006337696,0.00169399,0.0007945722,0.001497263,0.000922163,0.002146993,0.0008842857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008816553,"about_ca_system_score_gemma":0.001798729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828308,"about_ca_topic_score_gemma":0.002311502,"domain_scores_codex":[0.9996449,0.0001107855,0.00004602952,0.00005111795,0.0001173985,0.00002981524],"domain_scores_gemma":[0.9985909,0.0009866279,0.00007770005,0.00003165744,0.0002474238,0.00006575101],"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":[0.00005601557,0.00003323168,0.0005788254,0.009670237,0.00009398699,0.0002808562,0.00008937939,0.0003395641,0.00046321,0.007868557,0.03326458,0.9472615],"study_design_scores_gemma":[0.00001591081,0.00005420397,0.001741381,0.007702076,0.0001404893,0.002051209,0.00008737452,0.000156301,0.0001965826,0.006659235,0.9811724,0.00002284905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000109551,0.9971404,0.0001875129,0.001126813,0.0002910215,0.000002685211,0.00001541892,0.000009369137,0.001117222],"genre_scores_gemma":[0.0008917,0.9976844,0.0002211918,0.0005560063,0.0003199975,0.000004024027,0.00002500152,0.000002204014,0.0002955733],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002787453,"threshold_uncertainty_score":0.009324908,"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."}}