{"id":"W4283699243","doi":"10.1097/tp.0000000000004212","title":"Combining Donor-derived Cell-free DNA Fraction and Quantity to Detect Kidney Transplant Rejection Using Molecular Diagnoses and Histology as Confirmation","year":2022,"lang":"en","type":"article","venue":"Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"","keywords":"Biopsy; Receiver operating characteristic; Medicine; Medical diagnosis; Histology; Cell-free fetal DNA; Logistic regression; Transplantation; Predictive value of tests; Internal medicine; Kidney transplant; Kidney; Kidney transplantation; Pathology; Biology","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":[0.009848029,0.0007626085,0.0008272814,0.003198843,0.0002472244,0.001448428,0.0007863445,0.0007141627,0.0009708983],"category_scores_gemma":[0.01427987,0.0003607632,0.0007994114,0.001043749,0.0004797305,0.0007549638,0.0007932157,0.0006351268,0.0004139103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005415425,"about_ca_system_score_gemma":0.0007335799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006098912,"about_ca_topic_score_gemma":0.00141129,"domain_scores_codex":[0.9952075,0.002206285,0.0004813153,0.0008413086,0.001124673,0.0001389126],"domain_scores_gemma":[0.9909533,0.004850259,0.001981974,0.0006143337,0.001360185,0.0002399732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002241542,0.0002743964,0.8849653,0.0002890136,0.0006905178,0.0001079544,0.00008956445,0.007292001,0.01301632,0.0002785159,0.0006530444,0.09010188],"study_design_scores_gemma":[0.0004411725,0.004471272,0.618155,0.0003221378,0.00158104,0.003617369,0.000242277,0.3220984,0.04180288,0.002881351,0.004225122,0.0001620042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8874571,0.004682516,0.1032597,0.0004578253,0.0001107984,0.0004051922,0.0006176614,0.0006064723,0.002402721],"genre_scores_gemma":[0.9414665,0.0003459303,0.05720339,0.0001293562,0.00004394615,0.0001077682,0.00038492,0.00002922117,0.0002889574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009848029,"threshold_uncertainty_score":0.052082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103021971094299,"score_gpt":0.285349011143972,"score_spread":0.264318791433029,"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."}}