{"id":"W3081780751","doi":"10.1016/j.kint.2020.08.007","title":"HLA-D and PLA2R1 risk alleles associate with recurrent primary membranous nephropathy in kidney transplant recipients","year":2020,"lang":"en","type":"article","venue":"Kidney International","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Centre hospitalier régional universitaire de Lille; European Research Council; Centre Hospitalier Universitaire de Toulouse; Agence Nationale de la Recherche; Hôpitaux Universitaires de Genève; National Institute for Health and Care Research; Centre Hospitalier Universitaire Vaudois; Université de Sherbrooke","keywords":"Medicine; Human leukocyte antigen; Membranous nephropathy; Allele; Kidney; Internal medicine; Gastroenterology; Immunology; Biology; Genetics; Glomerulonephritis; Gene; Antigen","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":[0.0001222641,0.000187552,0.0002872871,0.0001088937,0.00004884327,0.00003936743,0.0001138636,0.00006555347,0.0001944341],"category_scores_gemma":[0.0003862631,0.0001466517,0.00007964267,0.0001345326,0.00006561803,0.0001284257,0.00004001579,0.0002735692,0.00002670842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004687,"about_ca_system_score_gemma":0.000258185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007621194,"about_ca_topic_score_gemma":0.00001339019,"domain_scores_codex":[0.998569,0.00005670078,0.0002964816,0.0003502445,0.000512945,0.0002146988],"domain_scores_gemma":[0.9989268,0.00004184053,0.0001227393,0.00009577062,0.00008462401,0.0007282889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006859207,0.0007873444,0.9321182,0.000487203,0.0007481542,0.0008273049,0.004345119,0.00003291963,0.002324768,0.0002142014,0.03119155,0.02006401],"study_design_scores_gemma":[0.008611573,0.0008916556,0.9085875,0.001704779,0.0002750267,0.0001006904,0.000126905,0.002439535,0.0003754993,0.0001333979,0.07637272,0.0003807266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675475,0.0006307954,0.0001358757,0.02235758,0.0003894508,0.000396009,0.001752877,0.00007391848,0.006715996],"genre_scores_gemma":[0.9842066,0.002740134,0.0008750016,0.01058713,0.0003025966,0.00003478621,0.001006171,0.00002895409,0.0002185898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04518117,"threshold_uncertainty_score":0.5980285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009672520890067532,"score_gpt":0.2309021184486437,"score_spread":0.2212295975585762,"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."}}