{"id":"W3185870902","doi":"10.3389/fcvm.2021.715400","title":"Skeletal Muscle Microvascular Dysfunction Manifests Early in Diabetic Cardiomyopathy","year":2021,"lang":"en","type":"article","venue":"Frontiers in Cardiovascular Medicine","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canada Foundation for Innovation","keywords":"Medicine; Isovolumetric contraction; Internal medicine; Diabetic cardiomyopathy; Cardiology; Diastole; Diabetes mellitus; Ejection fraction; Skeletal muscle; Ventricle; Heart failure with preserved ejection fraction; Perfusion; Type 2 diabetes; Endocrinology; Endothelial dysfunction; Heart failure; Cardiomyopathy; Blood pressure","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":[0.0001934897,0.0004707867,0.0002793395,0.0003333408,0.0001535848,0.0002043927,0.000126594,0.0003351744,0.0007011383],"category_scores_gemma":[0.0001157221,0.0001936547,0.0002297697,0.0001392369,0.0001791231,0.0002169359,0.0002062486,0.0005309782,0.0001663028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604292,"about_ca_system_score_gemma":0.0001196547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000309197,"about_ca_topic_score_gemma":0.0007565038,"domain_scores_codex":[0.9999198,0.00001171081,0.000006118891,0.00002010467,0.00001528137,0.00002704905],"domain_scores_gemma":[0.9998287,0.00001059115,0.00007445672,0.00001369779,0.00001470271,0.00005783838],"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":[0.001474921,0.0002452834,0.02636389,0.000062728,0.00001777653,0.000766495,0.00003214072,0.00006082902,0.9669453,0.00003647113,0.00005626452,0.003938063],"study_design_scores_gemma":[0.00008566204,0.006040465,0.7400478,0.00005187768,0.0001277407,0.004306958,0.0001999904,0.0006368489,0.2474378,0.00008761864,0.0009593862,0.00001781567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986194,0.0004905818,0.0005027149,0.00002166829,0.000008724673,0.00001048821,0.0000715079,0.00001556448,0.0002592571],"genre_scores_gemma":[0.9973705,0.0006080622,0.0007072465,0.00004677747,0.00001399655,0.00002975836,0.0002746893,0.000004620672,0.0009443241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007011383,"threshold_uncertainty_score":0.002345502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007977036333396173,"score_gpt":0.2130136696521121,"score_spread":0.2050366333187159,"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."}}