{"id":"W1979147243","doi":"10.1172/jci41789","title":"A molecular classifier for predicting future graft loss in late kidney transplant biopsies","year":2010,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"","keywords":"Medicine; Kidney transplantation; Transplantation; Renal function; Internal medicine; Proteinuria; Pathology; Fibrosis; Kidney; Biopsy; Urology","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":[0.0008737393,0.0001114787,0.0004135232,0.0001261664,0.00003097755,0.00001681308,0.00006480198,0.0002107362,0.00001492949],"category_scores_gemma":[0.0005148915,0.00007728938,0.0002882237,0.0001265256,0.00009630522,0.0001507423,0.000002810093,0.0005836688,0.000002185998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001280444,"about_ca_system_score_gemma":0.0002419913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000475445,"about_ca_topic_score_gemma":0.00001480001,"domain_scores_codex":[0.9982495,0.00006489521,0.001165616,0.0001290039,0.0002542679,0.0001366726],"domain_scores_gemma":[0.9986081,0.0002867533,0.0004705543,0.00009634029,0.0001842429,0.000354026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007597881,0.0001712766,0.9803758,0.0002378427,0.0001864007,0.0002695146,0.0003712625,0.00005937259,0.01507502,0.000550048,0.00007358928,0.00187014],"study_design_scores_gemma":[0.01190649,0.0009797296,0.9626352,0.001466504,0.0005579222,0.0003135347,0.0000452058,0.002757823,0.01321739,0.003818629,0.002155794,0.0001458332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894091,0.00004484601,0.0006645086,0.00849292,0.001016171,0.0002419672,0.00002413203,0.000009638124,0.00009670616],"genre_scores_gemma":[0.9887122,0.0002040084,0.008725059,0.001577808,0.0006450848,0.000006092288,0.00004618173,0.00001433421,0.00006926643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01774061,"threshold_uncertainty_score":0.3151769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05198470743307953,"score_gpt":0.3741028219329813,"score_spread":0.3221181144999017,"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."}}