{"id":"W3015653445","doi":"10.3389/fmed.2020.00114","title":"Non-invasive Chemokine Detection: Improved Prediction of Antibody-Mediated Rejection in Donor-Specific Antibody-Positive Renal Allograft Recipients","year":2020,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"","keywords":"Medicine; CXCL11; CXCL9; CXCL10; Chemokine; Kidney transplantation; Urinary system; Antibody; Internal medicine; Transplantation; Immunology; Urology; Gastroenterology; Inflammation","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":[0.0002613965,0.0002947247,0.0008980971,0.0005694128,0.00004740822,0.000005783587,0.0001022635,0.0002116389,0.00004763294],"category_scores_gemma":[0.000155952,0.000245071,0.0001121442,0.001342387,0.0001889745,0.0001623941,0.00001862518,0.0004277303,0.000004494847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392452,"about_ca_system_score_gemma":0.00007016074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003014992,"about_ca_topic_score_gemma":0.00003814654,"domain_scores_codex":[0.997753,0.00007326677,0.0008660645,0.000534545,0.0004473086,0.0003257686],"domain_scores_gemma":[0.99904,0.00008064411,0.0002733801,0.0002210615,0.0001651176,0.0002197789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002718767,0.0002453577,0.496407,0.0002677266,0.0002048237,0.0002378821,0.001909081,0.00003288915,0.4951228,0.000002061354,0.0004177558,0.002433871],"study_design_scores_gemma":[0.01889136,0.002775512,0.8952823,0.002633222,0.0002303613,0.00005956537,0.0009033474,0.003174057,0.07550847,0.00002693794,0.0003187832,0.0001960813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432068,0.0009392287,0.04983595,0.001590175,0.001745198,0.001619431,0.0001022352,0.00008444498,0.0008765301],"genre_scores_gemma":[0.990984,0.003869689,0.00304521,0.0003735263,0.0003440898,0.00003523864,0.001240627,0.0000342062,0.00007342725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4196143,"threshold_uncertainty_score":0.9993708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488657880577213,"score_gpt":0.268584247003304,"score_spread":0.2536976681975319,"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."}}