{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001035762,0.0001108952,0.0001891175,0.0001300316,0.00006879189,0.00001165137,0.00004055812,0.0001069845,0.0006007286],"category_scores_gemma":[0.0001521269,0.00007462995,0.00004087391,0.0001115376,0.0000921772,0.0001574169,0.00001646777,0.0001129207,0.0001205041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005715066,"about_ca_system_score_gemma":0.0001092189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002684925,"about_ca_topic_score_gemma":0.00001457038,"domain_scores_codex":[0.9992271,0.00004643806,0.0001978531,0.000210019,0.0001251792,0.0001934076],"domain_scores_gemma":[0.9992974,0.00007783825,0.00003265796,0.000194545,0.00001825461,0.000379299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009877118,0.0001664015,0.8797176,0.0001123459,0.00003506234,0.00003095169,0.000425687,4.74956e-8,0.09309415,0.0006308521,0.02463137,0.00105671],"study_design_scores_gemma":[0.003301175,0.0001811624,0.9569112,0.001094899,0.0000872435,0.000004197025,0.00001238985,0.00002323022,0.01718892,0.0008956578,0.02010906,0.0001908393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985155,0.0003106409,0.000005052301,0.001303547,0.00003347484,0.0002044056,0.0000637097,0.00005418144,0.01286997],"genre_scores_gemma":[0.9964883,0.00006743926,0.00003270354,0.0003972301,0.00008790485,0.00001641953,0.0000586608,0.00001630084,0.002834986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07719357,"threshold_uncertainty_score":0.6577557,"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."}}