{"id":"W4280633883","doi":"10.1111/ajt.17092","title":"Molecular diagnosis of ABMR with or without donor-specific antibody in kidney transplant biopsies: Differences in timing and intensity but similar mechanisms and outcomes","year":2022,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Canada Foundation for Innovation; University of Alberta; Mendez National Institute of Transplantation Foundation; Ministry of Advanced Education and Technology; Genome Canada","keywords":"Medicine; Stage (stratigraphy); Kidney; Biopsy; Internal medicine; Pathology; Gastroenterology; Urology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002686569,0.0004103512,0.0007349282,0.001499959,0.0003600579,0.001348375,0.0006767968,0.001073644,0.002229221],"category_scores_gemma":[0.007810536,0.0002926711,0.0006841003,0.0009048945,0.0004959191,0.001258753,0.0007103795,0.000884244,0.0003849882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004211504,"about_ca_system_score_gemma":0.000368407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036822,"about_ca_topic_score_gemma":0.001440551,"domain_scores_codex":[0.9978302,0.0007203373,0.0002435031,0.0003968439,0.0004007985,0.0004083498],"domain_scores_gemma":[0.9942913,0.002140271,0.00205209,0.0003876136,0.0006202714,0.0005084642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001992024,0.0001302608,0.9788278,0.00006990097,0.0002092898,0.000583905,0.00006541112,0.0001582453,0.008327338,0.0002291036,0.0001981736,0.009208574],"study_design_scores_gemma":[0.0000328871,0.0002914704,0.9926264,0.00005525039,0.000185304,0.003090521,0.0002713338,0.0006912341,0.001985048,0.0003169568,0.0004402646,0.00001339819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942971,0.002175987,0.0009116484,0.0002415012,0.00006237009,0.00002320737,0.0001875482,0.00001882677,0.002081834],"genre_scores_gemma":[0.9983177,0.0004287612,0.0006917742,0.00009903662,0.00007608173,0.000006281444,0.0002288504,0.000007078041,0.0001444297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002686569,"threshold_uncertainty_score":0.01420814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948166636643073,"score_gpt":0.2798949064620408,"score_spread":0.2604132400956101,"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."}}