{"id":"W3003004415","doi":"10.1172/jci99934","title":"Cardioprotective GLP-1 metabolite prevents ischemic cardiac injury by inhibiting mitochondrial trifunctional protein-α","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Heart and Stroke Foundation; University Health Network; Toronto General Hospital; University of Toronto; Ted Rogers Centre for Heart Research","funders":"Canadian Institutes of Health Research; Novo Nordisk; University of Toronto; Toronto General Hospital Research Institute, University Health Network; Heart and Stroke Foundation of Canada","keywords":"Glycolysis; Chemistry; Glucagon-like peptide-1; Biochemistry; Internal medicine; Pharmacology; Endocrinology; Cell biology; Biology; Metabolism; Medicine","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":[0.0001290652,0.0003397247,0.0003125264,0.0001036929,0.0001147613,0.0001714541,0.0001394219,0.0002023662,0.0007626466],"category_scores_gemma":[0.0000760166,0.00007215436,0.0002439077,0.00005594998,0.000168592,0.0001781485,0.0001215265,0.0007090323,0.0001818109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356018,"about_ca_system_score_gemma":0.0001271339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001419527,"about_ca_topic_score_gemma":0.0002087336,"domain_scores_codex":[0.9999367,0.0000125082,0.000005931808,0.00001402176,0.00001160234,0.00001918957],"domain_scores_gemma":[0.999944,0.000006611289,0.00002276306,0.00000563701,0.00000565964,0.00001534745],"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":[0.0002649954,0.0000380401,0.00008103806,0.00003072777,0.000004579045,0.00003012619,0.000007213363,0.0000344047,0.9981266,0.00004400823,0.00002299457,0.001315398],"study_design_scores_gemma":[0.00005205166,0.00112034,0.002552249,0.00000578456,0.00001655365,0.0002757717,0.00001801529,0.0005555591,0.9940326,0.0000322941,0.001335896,0.000002952453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946408,0.001504792,0.002810794,0.0001381093,0.00003355198,0.00003381887,0.0001572759,0.0000632793,0.0006174754],"genre_scores_gemma":[0.9942761,0.00131234,0.003079815,0.00006727671,0.00003192489,0.00005036228,0.0003094384,0.00001049177,0.0008622727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007626466,"threshold_uncertainty_score":0.002551317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04591061734917126,"score_gpt":0.3288346081097357,"score_spread":0.2829239907605645,"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."}}