{"id":"W1966924587","doi":"10.1007/s00395-014-0423-z","title":"MicroRNA-144 is a circulating effector of remote ischemic preconditioning","year":2014,"lang":"en","type":"article","venue":"Basic Research in Cardiology","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":246,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute for Health and Care Research","keywords":"Cardioprotection; Ischemic preconditioning; Ischemia; Medicine; Systemic administration; Exosome; PI3K/AKT/mTOR pathway; Pharmacology; microRNA; Apoptosis; Internal medicine; Chemistry; Biology; Microvesicles; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006137757,0.0004271625,0.0006185866,0.0005140101,0.0004011377,0.0008512487,0.0002461608,0.0007045184,0.002877579],"category_scores_gemma":[0.001184809,0.00031582,0.0004684368,0.0001945165,0.0004230627,0.0004204912,0.0004833081,0.001068411,0.0007781868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002661009,"about_ca_system_score_gemma":0.0003007258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009034257,"about_ca_topic_score_gemma":0.0001147724,"domain_scores_codex":[0.9995529,0.0001253066,0.00003960173,0.0001133595,0.00009877907,0.00007007732],"domain_scores_gemma":[0.9996879,0.00007456603,0.00008225795,0.00003127005,0.00004677495,0.00007731865],"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":[0.002690704,0.0001947272,0.005306872,0.0001738736,0.00008997523,0.001014043,0.0001303545,0.0002227892,0.961324,0.002302531,0.001471526,0.02507877],"study_design_scores_gemma":[0.0005675593,0.004085139,0.103257,0.00008103075,0.0003488844,0.004434495,0.0003473332,0.005767528,0.8475915,0.006173605,0.02725193,0.00009399507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487897,0.01563738,0.01809261,0.001414679,0.001566789,0.0001244316,0.0006235311,0.0005994961,0.01315143],"genre_scores_gemma":[0.9900872,0.001211252,0.004416689,0.0004319856,0.0003275672,0.00008706386,0.0003496602,0.00006234838,0.003026345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002877579,"threshold_uncertainty_score":0.009626508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04704513735018965,"score_gpt":0.3677855733733383,"score_spread":0.3207404360231486,"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."}}