{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001544207,0.0001836684,0.0001259219,0.00007353321,0.00009038104,0.00002158308,0.0001040108,0.0001554921,0.00004230323],"category_scores_gemma":[0.00001460814,0.00013883,0.00004045472,0.0001114024,0.00005041584,0.00003755237,0.000006443421,0.00007809825,0.00001806728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003868794,"about_ca_system_score_gemma":0.00008160407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001469967,"about_ca_topic_score_gemma":0.0002394528,"domain_scores_codex":[0.9988676,0.00005941798,0.0002738958,0.0003832047,0.0001641496,0.0002517547],"domain_scores_gemma":[0.9995872,0.00001593791,0.00009294076,0.0001514977,0.0000752001,0.00007723243],"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":[0.001001036,0.00003936342,0.01224427,0.00007482556,0.00001440992,0.000007209517,0.0004438722,0.00001978805,0.9799741,0.000004336874,0.0003767497,0.005800049],"study_design_scores_gemma":[0.001813907,0.0003497187,0.002061933,0.0003963813,0.00004600437,0.00004240525,0.00006533597,0.00008192997,0.9946511,0.00000838335,0.0002290919,0.0002538397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655173,0.00006273035,0.03330718,0.0003800397,0.00007031613,0.0001822381,0.0001507525,0.00002219615,0.0003072774],"genre_scores_gemma":[0.9963179,0.00178282,0.0004305355,0.0002458653,0.00007839822,0.00002387849,0.0008641076,0.00002498513,0.0002314678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03287664,"threshold_uncertainty_score":0.5661322,"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."}}