{"id":"W3161192456","doi":"10.1161/circ.142.suppl_3.16544","title":"Abstract 16544: Small Rna-sequencing Analysis of Circulating Proinflammatory Microrna Following Murine Myocardial Ischemia/reperfusion Injury","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proinflammatory cytokine; RNA; Medicine; Inflammation; microRNA; Reperfusion injury; Ischemia; Molecular biology; Immunology; Internal medicine; Biology; Gene; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003627858,0.0004121717,0.0003599671,0.0004699595,0.0002166936,0.0002624792,0.0001730497,0.0003310273,0.002946992],"category_scores_gemma":[0.0001804635,0.0001917715,0.0003080081,0.0002814082,0.0001659062,0.0001467787,0.000146405,0.0004717692,0.0009508269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328784,"about_ca_system_score_gemma":0.0002066109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704445,"about_ca_topic_score_gemma":0.0003008428,"domain_scores_codex":[0.9997783,0.0000271789,0.00002258995,0.00005781848,0.00007185779,0.00004216308],"domain_scores_gemma":[0.9998891,0.00001734368,0.00002714753,0.000009948036,0.00002442913,0.00003199722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002021468,0.00002590935,0.0001746774,0.00003790858,0.00000471695,0.0000287313,0.0000176555,0.0000231081,0.9982563,0.00003669543,0.00006007399,0.001132035],"study_design_scores_gemma":[0.00006579795,0.001565223,0.01775248,0.00002175356,0.00006990236,0.0004086207,0.00004826537,0.001207156,0.97324,0.0001041111,0.005500929,0.00001578496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661517,0.003005079,0.02106688,0.0001952813,0.000213971,0.0002883153,0.004674985,0.0003550957,0.00404863],"genre_scores_gemma":[0.9069222,0.00325395,0.05662885,0.0005343393,0.0001624074,0.001565885,0.01253887,0.0003187179,0.01807474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002946992,"threshold_uncertainty_score":0.009858727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088821068947321,"score_gpt":0.2619178651947495,"score_spread":0.2410296545052763,"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."}}