{"id":"W4317931874","doi":"10.3389/fphar.2023.1104568","title":"Application of a novel index for understanding vascular health following pharmacological intervention in a pre-clinical model of metabolic disease","year":2023,"lang":"en","type":"article","venue":"Frontiers in Pharmacology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; National Institutes of Health; American Heart Association","keywords":"Medicine; Vascular smooth muscle; Skeletal muscle; Vascular disease; Internal medicine; Metabolic syndrome; Disease; Endocrinology; Obesity","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":[0.001544532,0.0006306057,0.0004945929,0.001114109,0.0003474601,0.000751687,0.0003800474,0.0006525891,0.002004865],"category_scores_gemma":[0.0009312552,0.0002522351,0.0003209781,0.0005429692,0.00060982,0.0007464873,0.0005664501,0.001769889,0.0002956486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004647107,"about_ca_system_score_gemma":0.0004084253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000738952,"about_ca_topic_score_gemma":0.001154663,"domain_scores_codex":[0.9993901,0.0001353644,0.00004933976,0.0001275721,0.0002267243,0.00007093159],"domain_scores_gemma":[0.9990335,0.0001804095,0.0003156638,0.0001402087,0.0001890147,0.0001412016],"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":[0.001226634,0.0005702038,0.005480118,0.0001875006,0.00005518902,0.0001174736,0.0001506583,0.0006531004,0.9547212,0.0014906,0.0003980699,0.0349492],"study_design_scores_gemma":[0.0001086631,0.006865132,0.09293156,0.00007453735,0.0002068059,0.0006027863,0.000327181,0.01805031,0.8734053,0.00190602,0.00544408,0.00007764323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7377388,0.002460589,0.2484923,0.0005148822,0.0002959875,0.0005901015,0.001239446,0.001076953,0.007590839],"genre_scores_gemma":[0.8710607,0.001656812,0.1213681,0.0002343505,0.0001044955,0.0009434941,0.0006543535,0.000101958,0.003875783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002004865,"threshold_uncertainty_score":0.008168399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08873201220174709,"score_gpt":0.4323109839344967,"score_spread":0.3435789717327496,"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."}}