{"id":"W2892247024","doi":"10.1016/j.peptides.2018.09.002","title":"Glucagon-like peptide-1 receptor action in the vasculature","year":2018,"lang":"en","type":"review","venue":"Peptides","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Liraglutide; Medicine; Cardioprotection; Glucagon-like peptide 1 receptor; Vascular smooth muscle; Glucagon-like peptide-1; Agonist; Internal medicine; Endothelium; Endocrinology; Type 2 diabetes; Nitric oxide; Semaglutide; Receptor; Pharmacology; Diabetes mellitus; Myocardial infarction; Smooth muscle","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004594587,0.0004332831,0.001107695,0.0002480496,0.00007288528,0.00007479823,0.0002604899,0.0002649573,0.0002548323],"category_scores_gemma":[0.0000624052,0.0002395671,0.0006567511,0.0004527745,0.00008236118,0.00009959254,0.00007582259,0.0004022538,0.001390477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208226,"about_ca_system_score_gemma":0.00008978087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003060394,"about_ca_topic_score_gemma":0.0000532946,"domain_scores_codex":[0.9982662,0.0001501358,0.0004104097,0.0004579581,0.0003571045,0.0003582136],"domain_scores_gemma":[0.9988291,0.0001290169,0.0001946396,0.0007333243,0.00004687169,0.00006708004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009342863,0.0001970329,0.00003127602,0.009103565,0.0005076788,0.00002184013,0.0001611965,5.453646e-8,3.005973e-7,0.0001107606,0.1348881,0.8549689],"study_design_scores_gemma":[0.0003425341,0.000175798,0.0001064781,0.009806928,0.002067431,0.00001180675,0.0001063609,7.351173e-7,9.558221e-7,0.00003194295,0.9871346,0.0002144222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001161899,0.9828044,0.000002007044,0.0001651498,0.000735354,0.001771122,0.000009760468,0.00007609479,0.01431988],"genre_scores_gemma":[0.00002580884,0.9849027,0.0003303321,0.0003154188,0.0009879376,0.0004091969,0.0005119866,0.00005817075,0.01245844],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8547545,"threshold_uncertainty_score":0.999387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07720015587120768,"score_gpt":0.3567758776551874,"score_spread":0.2795757217839797,"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."}}