{"id":"W2125057036","doi":"10.1152/ajpheart.00271.2010","title":"Observations of time-based measures of flow-mediated dilation of forearm conduit arteries: implications for the accurate assessment of endothelial function","year":2010,"lang":"en","type":"article","venue":"American Journal of Physiology-Heart and Circulatory Physiology","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Reactive hyperemia; Brachial artery; Cardiology; Internal medicine; Forearm; Coronary artery disease; Cuff; Endothelium; Blood pressure; Blood flow; Surgery","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":[0.001378432,0.0004709027,0.00050918,0.0004347735,0.0001462826,0.0004069252,0.0003786002,0.00073018,0.0006823852],"category_scores_gemma":[0.003548185,0.0002888553,0.000170565,0.0005036576,0.0005332123,0.0003467387,0.0002412535,0.0009037296,0.0002607335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770312,"about_ca_system_score_gemma":0.0001045932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008402526,"about_ca_topic_score_gemma":0.0007154809,"domain_scores_codex":[0.9995543,0.0001484949,0.00002953389,0.0001258177,0.0001109015,0.00003079027],"domain_scores_gemma":[0.9972486,0.001378174,0.0007937541,0.0002368299,0.0001344242,0.0002082098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005277937,0.0003563409,0.4801201,0.0003481673,0.0002731474,0.0004991922,0.0005885863,0.000718003,0.4683927,0.0002946414,0.0004489794,0.04268217],"study_design_scores_gemma":[0.00003072524,0.001092847,0.9779522,0.00001355593,0.0000676827,0.0008919559,0.0000927475,0.001097629,0.01800069,0.0002258309,0.0005159725,0.00001814153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803134,0.005898287,0.01190368,0.0001438585,0.00005587499,0.00004057405,0.0004897249,0.0001029678,0.001051717],"genre_scores_gemma":[0.9903854,0.001365457,0.007175665,0.0001481811,0.0001405216,0.00008584387,0.0003287476,0.00001371414,0.0003564693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001378432,"threshold_uncertainty_score":0.007289946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584904757034829,"score_gpt":0.3039298967278977,"score_spread":0.2680808491575494,"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."}}