{"id":"W4409132083","doi":"10.1016/j.ekir.2025.03.048","title":"Identification and Cross-Platform Validation of Sparse Molecular Classifiers for Antibody-Mediated and T-Cell–Mediated Rejection After Kidney Transplantation","year":2025,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Seventh Framework Programme; Fonds Wetenschappelijk Onderzoek; Vlaamse regering; European Commission; Volkswagen Foundation; KU Leuven; National Institute for Health and Care Research; Imperial College Healthcare NHS Trust; Universidad Nacional Autónoma de México; Imperial College London","keywords":"Medicine; Identification (biology); Transplantation; Kidney transplantation; Antibody; Computational biology; Immunology; Internal medicine; 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":[0.006811714,0.0008752651,0.001152641,0.001626857,0.0003418038,0.001452303,0.0005324761,0.0007636397,0.0008355755],"category_scores_gemma":[0.0100731,0.0002125805,0.0008714089,0.0006115224,0.0005424781,0.0004909545,0.0009705662,0.0008331085,0.0004428339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395387,"about_ca_system_score_gemma":0.000561528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006958387,"about_ca_topic_score_gemma":0.0006154895,"domain_scores_codex":[0.9964364,0.001350969,0.0002657649,0.0010596,0.0006325271,0.0002547849],"domain_scores_gemma":[0.9937395,0.00318095,0.001290733,0.0005383463,0.0009814658,0.000268938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003966527,0.001432323,0.5038386,0.0008317884,0.002507074,0.0005323222,0.0004348689,0.09973841,0.1400231,0.001083732,0.004478697,0.2411326],"study_design_scores_gemma":[0.0001663682,0.00164561,0.1705127,0.0001492852,0.0007622192,0.0008771605,0.0002533959,0.7625127,0.05695984,0.002750729,0.00331071,0.0000993155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419546,0.001392543,0.05388292,0.0002012143,0.00006871299,0.0001481897,0.001244137,0.0003072928,0.0008003322],"genre_scores_gemma":[0.9745935,0.0002444631,0.02179466,0.0001217784,0.0000710107,0.0001595734,0.002651951,0.00003230929,0.0003307446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006811714,"threshold_uncertainty_score":0.03602421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210550632450469,"score_gpt":0.3164762560261413,"score_spread":0.3043707497016366,"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."}}