{"id":"W4389286010","doi":"10.1016/j.trsl.2023.12.001","title":"Metabolomic and lipidomic landscape of porcine kidney associated with kidney perfusion in heart beating donors and donors after cardiac death","year":2023,"lang":"en","type":"article","venue":"Translational research","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"Narodowe Centrum Nauki","keywords":"Metabolomics; Kidney; Perfusion; Medicine; Purine; Kidney transplantation; Economic shortage; Transplantation; Ex vivo; Biopsy; In vivo; Internal medicine; Chemistry; Bioinformatics; Biology; Biochemistry; Biotechnology","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":[0.0002349106,0.0001713977,0.0003450431,0.0003340807,0.0002083206,0.0006397076,0.000137825,0.0003215714,0.001247509],"category_scores_gemma":[0.0004388981,0.00009936806,0.0003571781,0.0005234984,0.0002072581,0.000268709,0.0004325632,0.000401173,0.0001305599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553992,"about_ca_system_score_gemma":0.0002209807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031645,"about_ca_topic_score_gemma":0.001109889,"domain_scores_codex":[0.9998834,0.0000210781,0.000008227509,0.00003723947,0.00001916039,0.00003082729],"domain_scores_gemma":[0.9998202,0.00003334534,0.00006300418,0.0000151386,0.00003210906,0.00003629579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01606257,0.0002212328,0.6435451,0.0004871629,0.00115767,0.00175009,0.0008404859,0.0008601516,0.2995868,0.000755218,0.001117366,0.03361623],"study_design_scores_gemma":[0.00003482483,0.0005829123,0.9826887,0.0000401262,0.0003824455,0.001105885,0.0009544224,0.001204794,0.01049704,0.0007703925,0.001688793,0.00004965615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964828,0.001094327,0.0004996946,0.0001257374,0.00002231368,0.000008533042,0.001285677,0.000007297765,0.0004734985],"genre_scores_gemma":[0.9963232,0.000624016,0.0005110537,0.0002389407,0.00002254517,0.00002074341,0.001745716,0.000006895798,0.0005069062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001247509,"threshold_uncertainty_score":0.004173279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04492310479923163,"score_gpt":0.3515476644662257,"score_spread":0.3066245596669941,"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."}}