{"id":"W2900819383","doi":"10.1139/cjpp-2018-0466","title":"A sodium-glucose cotransporter 2 (SGLT2) inhibitor dapagliflozin comparison with insulin shows important effects on Zn<sup>2+</sup>-transporters in cardiomyocytes from insulin-resistant metabolic syndrome rats through inhibition of oxidative stress","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Dapagliflozin; Cotransporter; Insulin; Internal medicine; Transporter; Chemistry; Endocrinology; Glucose transporter; Diabetes mellitus; Oxidative phosphorylation; Oxidative stress; Metabolic syndrome; Glucose uptake; Sodium; Biochemistry; Biology; Type 2 diabetes; Medicine","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":[0.0001539986,0.0003829065,0.0006530574,0.000250961,0.0001168178,0.0002250646,0.0001784,0.0002841103,0.001012983],"category_scores_gemma":[0.0001107527,0.0001754029,0.0003687415,0.0001625405,0.0002079469,0.0002562001,0.0001311602,0.0008612116,0.0001301524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159827,"about_ca_system_score_gemma":0.0002287523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006077819,"about_ca_topic_score_gemma":0.001085569,"domain_scores_codex":[0.9998783,0.00001671154,0.0000238433,0.00002405254,0.0000200811,0.0000370977],"domain_scores_gemma":[0.9998913,0.0000147078,0.0000252626,0.000007152373,0.00001103587,0.00005048996],"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":[0.008087726,0.0008383958,0.0007787929,0.0001864739,0.00005682741,0.00006868154,0.00002368101,0.0001026909,0.981872,0.00006685887,0.0002809741,0.007636943],"study_design_scores_gemma":[0.0009506386,0.01314181,0.01633088,0.00001597139,0.0002233683,0.0002237086,0.00005874988,0.002168559,0.9643231,0.00006119598,0.002484992,0.00001697262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996798,0.001376536,0.0007674774,0.0001304195,0.0000930249,0.00002446383,0.0002297116,0.00009593189,0.0004845177],"genre_scores_gemma":[0.9934273,0.001660404,0.002202994,0.000185552,0.00004566111,0.0001148216,0.0007149691,0.00001671271,0.001631582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001012983,"threshold_uncertainty_score":0.003388762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149010032593305,"score_gpt":0.2524678716376063,"score_spread":0.2409777713116733,"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."}}