{"id":"W3094551260","doi":"10.1111/ajt.16374","title":"Discovering novel injury features in kidney transplant biopsies associated with TCMR and donor aging","year":2020,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"","keywords":"Acute kidney injury; Medicine; Kidney disease; Kidney; Kidney transplantation; Internal medicine; Pathology; Nephrology","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":[0.0009635823,0.0003252525,0.0003774101,0.001887143,0.0004544359,0.0007983114,0.0003683868,0.0006693218,0.001606503],"category_scores_gemma":[0.001440343,0.0001731648,0.0004829333,0.0009453006,0.0002903656,0.0005525987,0.0005490282,0.0003797354,0.0002756765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002463122,"about_ca_system_score_gemma":0.00032556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116449,"about_ca_topic_score_gemma":0.002387125,"domain_scores_codex":[0.9995807,0.00006444379,0.00005571579,0.00009716719,0.00008987379,0.0001120477],"domain_scores_gemma":[0.9991398,0.0001190266,0.0003500087,0.00005799774,0.0001880609,0.0001450814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009282535,0.00008213096,0.9570653,0.0001407742,0.0001766888,0.00275883,0.0001861086,0.0001190859,0.02495898,0.000175672,0.0004863025,0.01292197],"study_design_scores_gemma":[0.00001825626,0.0002648112,0.9792924,0.00007033385,0.0002410781,0.009607715,0.0006600198,0.001331572,0.006389049,0.0004023722,0.001703477,0.00001890059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954516,0.001631847,0.001188149,0.0001081421,0.00003977003,0.00003412681,0.0004061814,0.00003109635,0.001109223],"genre_scores_gemma":[0.9967924,0.0004424262,0.00163072,0.0001092826,0.00006111763,0.00001884951,0.0005209384,0.000007637348,0.0004166551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001887143,"threshold_uncertainty_score":0.005374253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145405418433378,"score_gpt":0.2618015654877469,"score_spread":0.2503475113034132,"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."}}