{"id":"W2254245233","doi":"10.1172/jci.insight.85323","title":"Relationships among injury, fibrosis, and time in human kidney transplants","year":2016,"lang":"en","type":"article","venue":"JCI Insight","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Ministry of Advanced Education and Technology; Novartis Pharma; Astellas Pharma; Roche Organ Transplant Research Foundation; Ministry of Advanced Education; University of Alberta; Genome Canada","keywords":"Fibrosis; Pathology; Kidney; Medicine; Transplantation; Acute kidney injury; Biopsy; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001663334,0.0001115871,0.0002196952,0.0007864753,0.0002061784,0.0005163338,0.0001447712,0.0002300138,0.001888797],"category_scores_gemma":[0.002336529,0.00006084019,0.0002535395,0.001056792,0.0003320492,0.0002816512,0.0002717792,0.0002472647,0.0002028504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006020138,"about_ca_system_score_gemma":0.000566293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762573,"about_ca_topic_score_gemma":0.002642991,"domain_scores_codex":[0.9993339,0.0002618663,0.00005354693,0.00009663473,0.0001861983,0.0000678689],"domain_scores_gemma":[0.9974567,0.0006024854,0.001345501,0.00009772091,0.0002446181,0.0002529221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008391695,0.0002236175,0.9411004,0.0003902419,0.0001903625,0.0003628694,0.0003508091,0.00049069,0.01423693,0.0005136726,0.0004359774,0.03331273],"study_design_scores_gemma":[0.00003864936,0.0007696096,0.9939834,0.00004561441,0.00008219587,0.0004928053,0.0001741171,0.000466273,0.002323132,0.0004144327,0.001197997,0.00001178728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907707,0.006178074,0.000883867,0.0001069425,0.00001261323,0.00006622457,0.0008078121,0.00001057361,0.001163091],"genre_scores_gemma":[0.9978751,0.0008715771,0.0003368371,0.00003949154,0.000009983275,0.00004516144,0.0003911817,0.000002787605,0.0004278915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001888797,"threshold_uncertainty_score":0.008796632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684659587547185,"score_gpt":0.2490950695229308,"score_spread":0.2322484736474589,"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."}}