{"id":"W2125611223","doi":"10.1111/j.1600-6143.2011.03931.x","title":"A New Diagnostic Algorithm for Antibody-Mediated Microcirculation Inflammation in Kidney Transplants","year":2012,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; The Metabolomics Innovation Centre","funders":"Canadian Institutes of Health Research; University of Illinois at Chicago","keywords":"Medicine; Microcirculation; Peritubular capillaries; Pathology; Kidney transplantation; Inflammation; Kidney; Nephrology; Biopsy; Transplantation; Kidney disease; Antibody; Glomerulonephritis; Internal medicine; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002598724,0.0001653365,0.000400314,0.0003685457,0.00003589184,0.0000138213,0.00005484514,0.00005595363,0.00002650835],"category_scores_gemma":[0.00005641167,0.0001410086,0.0001658426,0.0003270499,0.00003214489,0.0004468595,7.73212e-7,0.0001307008,0.000008764037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008719178,"about_ca_system_score_gemma":0.0001741062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009690341,"about_ca_topic_score_gemma":0.000009099042,"domain_scores_codex":[0.9986158,0.00006210883,0.0006504034,0.0001113798,0.0002897528,0.0002705272],"domain_scores_gemma":[0.9986141,0.0004680746,0.0003932219,0.00006825216,0.0001157811,0.0003406045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002139539,0.0003766698,0.6420348,0.0007078465,0.0004420442,0.0001715458,0.006231819,0.0001682341,0.05631199,0.00006425178,0.0000303337,0.2913209],"study_design_scores_gemma":[0.01325767,0.001086638,0.9609061,0.002005915,0.001050334,0.001578891,0.0002425724,0.0005990706,0.01870267,0.00005555774,0.0002704953,0.0002440408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5688022,0.0001681308,0.4297298,0.0004125894,0.0002375728,0.0004670455,0.0001179277,0.00001510834,0.00004964912],"genre_scores_gemma":[0.9475187,0.001399544,0.04962774,0.0001909878,0.0002722799,0.00001005853,0.0009369818,0.00002394527,0.00001974034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.380102,"threshold_uncertainty_score":0.5750163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171896007233746,"score_gpt":0.3024080563529801,"score_spread":0.2906890962806427,"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."}}