{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001531629,0.0004998803,0.0006499676,0.002304919,0.0002517531,0.000737326,0.0004325189,0.0007488725,0.0008859932],"category_scores_gemma":[0.004964124,0.0001425014,0.0003380518,0.0005606752,0.0001571093,0.0003931985,0.0002353024,0.000612818,0.0005829436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746653,"about_ca_system_score_gemma":0.0004596055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127466,"about_ca_topic_score_gemma":0.001214607,"domain_scores_codex":[0.9995165,0.0001289219,0.00007140019,0.00007318938,0.0001473118,0.00006276114],"domain_scores_gemma":[0.9975809,0.001332981,0.0002759167,0.00009078658,0.0005873085,0.0001320705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002005112,0.001127381,0.4987201,0.0002124933,0.0003571663,0.0006658504,0.0001224328,0.06168345,0.02913252,0.000972263,0.008697761,0.3963034],"study_design_scores_gemma":[0.0001161831,0.0007118622,0.1009804,0.00006437775,0.0001694285,0.0009593899,0.00009816613,0.881978,0.01073092,0.001966397,0.002175699,0.00004920297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432538,0.001058157,0.1479368,0.0006750267,0.0001606991,0.0004529139,0.002542039,0.001440694,0.002479797],"genre_scores_gemma":[0.9283028,0.0001918737,0.06794374,0.0001006926,0.00009926916,0.0002546737,0.002303143,0.00002095583,0.0007828667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002304919,"threshold_uncertainty_score":0.008100152,"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."}}