{"id":"W2230962694","doi":"10.1111/ajt.13551","title":"Identifying Subphenotypes of Antibody-Mediated Rejection in Kidney Transplants","year":2016,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Ministry of Innovation and Advanced Education; Ministry of Advanced Education and Technology; Ministry of Advanced Education; Roche Organ Transplant Research Foundation; Canada Foundation for Innovation; Genome Canada; University of Alberta; Novartis Pharmaceuticals Corporation; Novartis Pharma; Astellas Pharma; F. Hoffmann-La Roche","keywords":"Medicine; Graft rejection; Kidney transplantation; Antibody; Kidney; Immunology; Kidney transplant; Transplantation; Internal medicine","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":[0.0008159828,0.0002085164,0.0002447727,0.001246431,0.0002243815,0.0004034396,0.0001751116,0.0002570437,0.000589286],"category_scores_gemma":[0.001403706,0.0001629081,0.0002093812,0.0005120248,0.0002297473,0.0003146239,0.0003962016,0.0001761036,0.0001640168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001393841,"about_ca_system_score_gemma":0.0001446324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005667279,"about_ca_topic_score_gemma":0.0006757739,"domain_scores_codex":[0.9996234,0.0001342759,0.00004948399,0.0000603898,0.00006129566,0.0000711745],"domain_scores_gemma":[0.9992325,0.0002106694,0.000302625,0.00006190102,0.00006781207,0.0001244153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003058627,0.00001976317,0.9918617,0.000009744834,0.00001587458,0.0002856769,0.00008635698,0.00005245143,0.005211552,0.00001268222,0.00001341172,0.002125088],"study_design_scores_gemma":[0.000006094934,0.0001876966,0.9969189,0.000003404729,0.00001584401,0.001439122,0.0001713044,0.0002333718,0.000920226,0.0000200542,0.00008133596,0.000002750531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999726,0.00009870257,0.00007017099,0.000001882373,7.308446e-7,0.00000479096,0.00001496399,0.000001097459,0.00008176341],"genre_scores_gemma":[0.9996521,0.00005968967,0.00016096,0.000006113224,0.000004578859,0.000006465743,0.0000666666,0.000001176408,0.00004229065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001246431,"threshold_uncertainty_score":0.004315436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569348783087057,"score_gpt":0.3111787983885738,"score_spread":0.2954853105577032,"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."}}