{"id":"W2618463845","doi":"10.1139/bcb-2016-0158","title":"MicroRNA-34a protects myocardial cells against ischemia–reperfusion injury through inhibiting autophagy via regulating TNFα expression","year":2017,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Autophagy in Disease and Therapy","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Autophagy; In vivo; Reperfusion injury; Apoptosis; Cardioprotection; Viability assay; Ischemia; Medicine; Flow cytometry; Western blot; Tumor necrosis factor alpha; Myocardial infarction; Transfection; Pharmacology; Chemistry; Biology; Internal medicine; Immunology; Cell culture; Biochemistry","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":[0.000236261,0.0004194561,0.000409611,0.0002812972,0.0002261998,0.0002562743,0.0002169297,0.0002698476,0.001038283],"category_scores_gemma":[0.0001739134,0.0001831473,0.0004786501,0.0001760681,0.0003227957,0.0002301461,0.0001819062,0.0006637644,0.0003428725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487729,"about_ca_system_score_gemma":0.0003271761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000163293,"about_ca_topic_score_gemma":0.0001765563,"domain_scores_codex":[0.9998335,0.00002616367,0.0000246327,0.00003685955,0.00004540154,0.00003334331],"domain_scores_gemma":[0.9998986,0.0000113696,0.00004109566,0.00001081993,0.00001988766,0.0000182475],"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":[0.0004520604,0.00006940661,0.0002574807,0.0001123416,0.00001649583,0.00005639538,0.00001855821,0.00009584564,0.9958799,0.0001544281,0.0001129022,0.002774226],"study_design_scores_gemma":[0.00008493592,0.0009580211,0.00262452,0.00001928349,0.00009419346,0.000306788,0.00002579584,0.001077539,0.9904321,0.0001239986,0.004243542,0.000009275165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782249,0.007440862,0.01069506,0.0004119191,0.0002686581,0.00008777425,0.0004916663,0.0004335606,0.001945621],"genre_scores_gemma":[0.9882321,0.002954939,0.006683763,0.0001506877,0.0000521724,0.0001103866,0.0004982488,0.00003779668,0.001279902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001038283,"threshold_uncertainty_score":0.003473401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009888435459245991,"score_gpt":0.2641352831845042,"score_spread":0.2542468477252582,"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."}}