{"id":"W3033301856","doi":"10.1139/cjpp-2019-0701","title":"Identification of differentially expressed miRNA 48 h after cerebral ischemia–reperfusion injury in mice by the technique of miRNA microarray","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"microRNA; Microarray; Ischemia; Biology; Reperfusion injury; Downregulation and upregulation; Microarray analysis techniques; DNA microarray; Gene expression; Molecular biology; Gene; Internal medicine; Medicine; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041941,0.0004605106,0.0007251267,0.0009861651,0.0003582997,0.0003930746,0.0002305054,0.0004292743,0.001312086],"category_scores_gemma":[0.0002428709,0.0003504287,0.0005498842,0.0006973931,0.0002631395,0.0003667864,0.0001953645,0.001089616,0.000470505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002588269,"about_ca_system_score_gemma":0.0002558866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002752001,"about_ca_topic_score_gemma":0.0007036395,"domain_scores_codex":[0.9995893,0.0000364411,0.0000394999,0.0001570452,0.0001037513,0.00007405129],"domain_scores_gemma":[0.9998354,0.00002684107,0.00005169111,0.00001489182,0.00004081312,0.00003042145],"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":[0.0002340714,0.00003150798,0.0006197577,0.00005565614,0.00001124655,0.00002432198,0.00004293933,0.00004508384,0.9964359,0.00007207992,0.00005862108,0.002368759],"study_design_scores_gemma":[0.00004749955,0.0008879195,0.02814388,0.00001633811,0.0001286818,0.0002501389,0.00009911982,0.001775961,0.9640275,0.0002293156,0.004361497,0.00003212846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202135,0.004655132,0.06347225,0.0003286485,0.0002465062,0.0004476657,0.006024447,0.000704982,0.003906968],"genre_scores_gemma":[0.8169631,0.00669688,0.152155,0.0006367835,0.0001341703,0.003187238,0.006811328,0.0003041073,0.01311125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001312086,"threshold_uncertainty_score":0.004389346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005351406420720792,"score_gpt":0.2362547430734015,"score_spread":0.2309033366526807,"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."}}