{"id":"W2323457616","doi":"10.1097/tp.0000000000000960","title":"Attenuating Ischemia-Reperfusion Injury in Kidney Transplantation by Perfusing Donor Organs With siRNA Cocktail Solution","year":2016,"lang":"en","type":"article","venue":"Transplantation","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital; Lawson Health Research Institute; London Health Sciences Centre","funders":"Canadian Institutes of Health Research","keywords":"Kidney; Transplantation; Gene silencing; Medicine; Small interfering RNA; Kidney transplantation; Creatinine; Proinflammatory cytokine; Apoptosis; Renal ischemia; Pharmacology; Blood urea nitrogen; Renal function; Reperfusion injury; Ischemia; Inflammation; Immunology; Chemistry; Surgery; Internal medicine; Transfection; Gene; Biochemistry","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":[0.0003516761,0.0005592494,0.000441225,0.0003273133,0.0001881473,0.0003534588,0.0002833647,0.0003885925,0.001216346],"category_scores_gemma":[0.0001755639,0.0001689882,0.0004599346,0.0001463141,0.0002605516,0.0003807003,0.0002427683,0.0005936343,0.0002697709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002251605,"about_ca_system_score_gemma":0.0003700159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002634794,"about_ca_topic_score_gemma":0.0005380087,"domain_scores_codex":[0.9997697,0.00002761889,0.00003267853,0.00005034114,0.00008064346,0.00003893521],"domain_scores_gemma":[0.9998652,0.00002634624,0.00004676192,0.00001033555,0.00002590574,0.00002552693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000766304,0.00003350609,0.00008681068,0.00009574727,0.00001032086,0.00002465305,0.00001244205,0.00004792587,0.9980155,0.0000659858,0.0000437733,0.001486619],"study_design_scores_gemma":[0.0000222991,0.0005983908,0.0009351284,0.00001095845,0.00005372001,0.0001589041,0.00001092437,0.000581031,0.9958375,0.00002700686,0.001758532,0.000005557041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629792,0.006470051,0.02702743,0.0002557769,0.0002394409,0.0002104515,0.0002636162,0.0003549802,0.002198983],"genre_scores_gemma":[0.9653606,0.005404787,0.02480792,0.000224541,0.00008426224,0.0003928442,0.0005767645,0.00008125329,0.003067128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001216346,"threshold_uncertainty_score":0.00406909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00620889814901606,"score_gpt":0.2240664809265275,"score_spread":0.2178575827775114,"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."}}