{"id":"W4283695613","doi":"10.3389/fcvm.2022.927956","title":"High-Intensity Interval Training Improves Cardiac Function by miR-206 Dependent HSP60 Induction in Diabetic Rats","year":2022,"lang":"en","type":"article","venue":"Frontiers in Cardiovascular Medicine","topic":"Exercise and Physiological Responses","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft","keywords":"High-intensity interval training; Medicine; Interval training; Internal medicine; Diabetic cardiomyopathy; Endocrinology; Cardiology; Cardiac function curve; Continuous training; Cardiomyopathy; Physical therapy; Heart failure","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001525686,0.000555355,0.000480449,0.0003027513,0.0001571718,0.0002107988,0.0001877158,0.0002705842,0.001569475],"category_scores_gemma":[0.00009687631,0.0001743333,0.0003021259,0.0001730197,0.0002424209,0.000217899,0.0002097545,0.0007872941,0.000176121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115117,"about_ca_system_score_gemma":0.0001280896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003161764,"about_ca_topic_score_gemma":0.0005093412,"domain_scores_codex":[0.9999052,0.00001065502,0.00000994205,0.00002290049,0.0000172292,0.0000340037],"domain_scores_gemma":[0.9998784,0.000006167569,0.0000491081,0.000008890475,0.00001138032,0.00004610117],"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":[0.004171152,0.001155541,0.0006025713,0.0001167352,0.00002204453,0.00003775863,0.00002851465,0.00007976057,0.9877252,0.0000300834,0.00006304871,0.005967584],"study_design_scores_gemma":[0.001066635,0.0476099,0.09194651,0.00009707122,0.0002615582,0.0003859804,0.0003391798,0.002859861,0.8529172,0.000176489,0.002302641,0.00003692323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980909,0.0005312036,0.0007792689,0.00005764267,0.0000325559,0.00002027698,0.00008708234,0.0000455018,0.00035554],"genre_scores_gemma":[0.9961965,0.0007681724,0.001326034,0.00008831039,0.00002869571,0.00008137606,0.0001863626,0.00001168358,0.001312872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001569475,"threshold_uncertainty_score":0.005250454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696638960892785,"score_gpt":0.2337773357167078,"score_spread":0.2168109461077799,"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."}}