{"id":"W3001769279","doi":"10.1103/physrevx.10.011015","title":"Nonlinear Dynamics of Human Aortas for Material Characterization","year":2020,"lang":"en","type":"article","venue":"Physical Review X","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Pulsatile flow; Thoracic aorta; Viscoelasticity; Descending aorta; Aorta; Biomedical engineering; Stiffness; Materials science; Nonlinear system; Mechanics; Physics; Computer science; Medicine; Cardiology; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.00002257728,0.00006811514,0.0002252083,0.000004922719,0.00001381467,0.000006816384,0.00005818569,0.00001375441,0.00001955624],"category_scores_gemma":[0.00002305323,0.00006447253,0.00005344258,0.00004162684,0.000007854908,0.00005062519,0.00001303063,0.00002850472,0.000008662097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000767346,"about_ca_system_score_gemma":0.000002896132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.616708e-7,"about_ca_topic_score_gemma":4.011924e-7,"domain_scores_codex":[0.99964,0.000005912535,0.0001620999,0.00006852815,0.0000479865,0.0000754827],"domain_scores_gemma":[0.9998484,0.000009900275,0.0000293582,0.0000536998,0.00002373887,0.00003495899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006829986,0.00002191867,0.000001727233,0.00677064,0.00001263513,1.496011e-7,0.00004533208,0.0002129007,0.9843387,0.00701478,0.00001852978,0.001555864],"study_design_scores_gemma":[0.0002309662,0.000189783,0.00003647216,0.001227399,0.0001449803,2.722998e-7,0.000002541496,0.8013995,0.1922614,0.00153716,0.002723435,0.0002461101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556002,0.0001126605,0.04312192,0.000227186,0.0001645565,0.0003326749,0.0002409384,0.0001035686,0.00009629074],"genre_scores_gemma":[0.997941,0.0005002597,0.0004856766,0.0001496051,0.0004496408,0.00002189642,0.0004305012,0.00001995223,0.000001436539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8011866,"threshold_uncertainty_score":0.2629113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259625881415544,"score_gpt":0.2777321834218604,"score_spread":0.255135924607705,"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."}}