{"id":"W4385331496","doi":"10.1159/000531770","title":"Prioritization of Monogenic Congenital Anomalies of the Kidney and Urinary Tract Candidate Genes with Existing Single-Cell Transcriptomics Data of the Human Fetal Kidney","year":2023,"lang":"en","type":"article","venue":"˜The œNephron journals/Nephron journals","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Institute of General Medical Sciences; Academic Medical Organization of Southwestern Ontario; Schulich School of Medicine and Dentistry; Yale University; National Institutes of Health; ACMG Foundation for Genetic and Genomic Medicine","keywords":"Candidate gene; Kidney development; Biology; Gene; Transcriptome; Genetics; Bioinformatics; Gene expression","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":[0.0006355412,0.0004284969,0.000510219,0.001247108,0.0004311091,0.0007138389,0.0002261297,0.0003077739,0.001493205],"category_scores_gemma":[0.001212563,0.0001779977,0.0005233772,0.001007697,0.0002032426,0.0002276256,0.0005236574,0.0003325561,0.0003925513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003101941,"about_ca_system_score_gemma":0.0005307103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066237,"about_ca_topic_score_gemma":0.002972188,"domain_scores_codex":[0.9995157,0.0000506323,0.00004360866,0.0001836592,0.0001419333,0.00006453806],"domain_scores_gemma":[0.9990233,0.0005087348,0.0001762933,0.00007275433,0.0001482269,0.00007061242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004419535,0.00003401499,0.07780951,0.0003493537,0.0001676716,0.0008020632,0.0001643002,0.001268816,0.9003425,0.0002491379,0.0004282378,0.01794245],"study_design_scores_gemma":[0.0000423504,0.0002591148,0.6215105,0.00009149954,0.0005260968,0.003560913,0.0004597415,0.01965693,0.3417171,0.000979036,0.01114092,0.00005578509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726166,0.00154916,0.01870419,0.0001385676,0.00002454047,0.00004867181,0.005616687,0.0002389532,0.001062629],"genre_scores_gemma":[0.9526681,0.0006818303,0.03208478,0.0001676337,0.00002550647,0.00008988765,0.01335859,0.0001399563,0.0007835644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001493205,"threshold_uncertainty_score":0.004995286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478056406211894,"score_gpt":0.2739815957323469,"score_spread":0.2392010316702279,"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."}}