{"id":"W3163786015","doi":"10.1139/apnm-2021-0135","title":"Measuring tibial hemodynamics and metabolism at rest and after exercise using near-infrared spectroscopy","year":2021,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Hemodynamics; Tibia; Chemistry; Internal medicine; Cardiology; Medicine; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110263,0.0002646955,0.0006809338,0.00008894486,0.000223466,0.00006647874,0.00003611577,0.0001914209,0.00004143878],"category_scores_gemma":[0.00002751248,0.0002514922,0.00006391349,0.0001489333,0.0004239322,0.00009151908,0.0001551385,0.0003048252,0.000003342925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002863029,"about_ca_system_score_gemma":0.00004359232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001403887,"about_ca_topic_score_gemma":0.000003435736,"domain_scores_codex":[0.9986183,0.00004753491,0.0002566449,0.000569789,0.0001432541,0.0003644911],"domain_scores_gemma":[0.9992958,0.00003850053,0.00007661882,0.0002668573,0.00008690068,0.0002353473],"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":[0.0004054472,0.0001611137,0.0001359718,0.0001785375,0.0000472012,0.00002572229,0.0001385958,1.948996e-7,0.9942555,0.003240238,0.000106084,0.001305403],"study_design_scores_gemma":[0.009341653,0.0000406658,0.3531928,0.0003853735,0.001247874,0.0004951119,0.0002212001,0.002029509,0.5735754,0.0256854,0.03297448,0.0008105867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864221,0.0114935,0.0003440936,0.0003801792,0.0001130481,0.0003817548,0.00002305199,0.0001234594,0.0007187951],"genre_scores_gemma":[0.9280887,0.009390076,0.06111406,0.0008281725,0.0002803632,0.0000794766,0.00006171512,0.00004051671,0.0001169722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4206801,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508402949376358,"score_gpt":0.2667339621849291,"score_spread":0.2516499326911655,"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."}}