{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218115,0.000193288,0.0002863483,0.0005511491,0.0001391906,0.0003597679,0.00008572775,0.0002440389,0.0008611259],"category_scores_gemma":[0.0002508453,0.0001502406,0.0002078827,0.000389853,0.0001618758,0.0001581938,0.0002101382,0.0002709099,0.000277239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009826765,"about_ca_system_score_gemma":0.0001172436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007434451,"about_ca_topic_score_gemma":0.00009977559,"domain_scores_codex":[0.9998322,0.00002345654,0.00001938858,0.00005084259,0.00004664791,0.00002747923],"domain_scores_gemma":[0.9998511,0.00002253107,0.00007334121,0.000009548504,0.00002236175,0.00002113873],"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":[0.0004832132,0.00003459248,0.006571853,0.0000955537,0.00002187875,0.0001963089,0.00005222058,0.00007697978,0.9865182,0.00009326261,0.00009233312,0.005763635],"study_design_scores_gemma":[0.00004483676,0.001590309,0.4150567,0.0000505428,0.0002676298,0.004502329,0.0002964489,0.002580339,0.5672723,0.0005791404,0.007720131,0.00003933354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877944,0.004671322,0.004912808,0.00006288329,0.00004993919,0.00003503001,0.0006745844,0.0001005361,0.001698461],"genre_scores_gemma":[0.9918501,0.001791819,0.003794483,0.0001084874,0.00002628497,0.00008955048,0.0007640317,0.000027703,0.001547481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008611259,"threshold_uncertainty_score":0.002880812,"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."}}