{"id":"W1972455259","doi":"10.1371/journal.pone.0079805","title":"MicroRNA and mRNA Signatures in Ischemia Reperfusion Injury in Heart Transplantation","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Lawson Health Research Institute; Heart and Stroke Foundation of Canada","keywords":"Heart transplantation; microRNA; Transplantation; Reperfusion injury; Hypoxia (environmental); Biology; Ischemia; Gene expression; Microarray analysis techniques; Microarray; Downregulation and upregulation; Gene expression profiling; Bioinformatics; Medicine; Gene; Internal medicine; Genetics; Chemistry","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":[0.00006777128,0.00008014385,0.0000920949,0.00005700633,0.00001537608,0.00001311394,0.00004436926,0.0001286797,0.00004623475],"category_scores_gemma":[0.00002495518,0.00008381034,0.00001619273,0.00006287308,0.00002411866,0.000007797517,0.00002158243,0.00007559625,0.000007026176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001308103,"about_ca_system_score_gemma":0.00001787034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006825304,"about_ca_topic_score_gemma":0.00004059325,"domain_scores_codex":[0.9994168,0.00003402663,0.000143649,0.0002108124,0.00007664617,0.0001180348],"domain_scores_gemma":[0.9997728,0.000005695047,0.00002945865,0.0001254821,0.00002836501,0.00003818929],"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":[0.00006223406,0.0001644189,0.02017354,0.00006624669,0.000008554349,0.000001138979,0.00004950865,0.000006984859,0.9789392,0.000002137692,0.0003157729,0.0002102228],"study_design_scores_gemma":[0.0003524616,0.00004354017,0.07899772,0.00009300596,0.000009257586,0.000001106591,0.000008374652,0.0001317607,0.9201699,0.00004144196,0.00005731001,0.00009413404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985715,0.0007601288,0.000006308626,0.0002523772,0.000008213527,0.0002678624,0.000007387114,0.000005999246,0.0001202737],"genre_scores_gemma":[0.9981821,0.0003469905,0.001081004,0.0001450147,0.00004098955,0.00003228162,0.00008263731,0.00001102499,0.00007798701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05882418,"threshold_uncertainty_score":0.3417686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008982318288491348,"score_gpt":0.2157520850450955,"score_spread":0.2067697667566042,"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."}}