{"id":"W3111759125","doi":"10.1161/circgen.120.003155","title":"Bayesian Inference Associates Rare <i>KDR</i> Variants With Specific Phenotypes in Pulmonary Arterial Hypertension","year":2020,"lang":"en","type":"article","venue":"Circulation Genomic and Precision Medicine","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; National Heart, Lung, and Blood Institute; NIHR BioResource; Nederlandse Federatie van Universitair Medische Centra; Department of Health and Social Care; Goddard Space Flight Center; British Heart Foundation; Wellcome Trust; National Institute for Health and Care Research; Regeneron Pharmaceuticals; NHS Blood and Transplant","keywords":"Phenotype; Biology; Genome-wide association study; Gene; Genetics; Internal medicine; Medicine; Genotype; Single-nucleotide polymorphism","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":[0.01451568,0.0008240053,0.001158211,0.002295497,0.0009547021,0.001734601,0.001200687,0.001340188,0.00229495],"category_scores_gemma":[0.05267822,0.0007624715,0.00165201,0.001380807,0.001252478,0.0007415797,0.00145777,0.00180842,0.0002906094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007950273,"about_ca_system_score_gemma":0.001145204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009605015,"about_ca_topic_score_gemma":0.009079483,"domain_scores_codex":[0.9927582,0.004558726,0.0003936103,0.001414138,0.0005158774,0.000359526],"domain_scores_gemma":[0.9502624,0.04346135,0.003448487,0.001363754,0.0007874334,0.0006765868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001647555,0.0002532621,0.8173785,0.0002824726,0.00329819,0.001649775,0.0004599348,0.1154961,0.004098541,0.01148549,0.003167026,0.04078311],"study_design_scores_gemma":[0.0003582321,0.0001924332,0.1519116,0.0001733315,0.00150775,0.001939899,0.0001697098,0.7963961,0.001808824,0.04348746,0.001920343,0.0001342617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7980312,0.001490397,0.194115,0.001636995,0.00006746191,0.0001575048,0.001411741,0.0003696165,0.002720165],"genre_scores_gemma":[0.9830161,0.0002146297,0.01505979,0.0002530722,0.00006867466,0.00004956178,0.0009392038,0.00004996222,0.0003491095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01451568,"threshold_uncertainty_score":0.07676721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402149974108441,"score_gpt":0.2656309218697018,"score_spread":0.2254159244588577,"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."}}