{"id":"W2561159698","doi":"10.1016/j.jbiomech.2016.12.037","title":"On the quantification and visualization of transient periodic instabilities in pulsatile flows","year":2017,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pulsatile flow; Reynolds number; Turbulence; Mechanics; Frequency domain; Flow (mathematics); Reynolds stress; Transient (computer programming); Filter (signal processing); Flow visualization; Shear stress; Physics; Statistical physics; Mathematics; Computer science; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008739657,0.00004041257,0.0001514395,0.0001317151,0.00009969429,0.00001573057,0.00005092568,0.00002729185,0.00004996343],"category_scores_gemma":[0.0002755115,0.00002781018,0.000102854,0.00005751004,0.00002252099,0.00006770597,0.00001008019,0.00007098825,3.394167e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004311161,"about_ca_system_score_gemma":0.00009975886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002003544,"about_ca_topic_score_gemma":0.00001067248,"domain_scores_codex":[0.9992871,0.00006817599,0.0002831047,0.00005383874,0.0002507288,0.00005711002],"domain_scores_gemma":[0.9993713,0.00003097479,0.000271027,0.0001914024,0.00008826852,0.00004697662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008389577,0.002942,0.004659455,0.003388903,0.0005062678,0.0000844559,0.01219541,0.0001685063,0.3616024,0.04467592,0.0006322073,0.5607549],"study_design_scores_gemma":[0.03210494,0.007217122,0.5779241,0.003843983,0.001834402,0.0009595104,0.01907571,0.2233654,0.07708453,0.03651323,0.01922783,0.0008492059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964817,0.000775253,0.001594685,0.0007461505,0.0001478742,0.0001862148,0.000004980418,0.000001412635,0.00006178205],"genre_scores_gemma":[0.9994544,0.0004107581,0.00004121091,0.00005174459,0.00002352706,0.000003335701,0.000003517687,0.000004171056,0.000007331206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5732647,"threshold_uncertainty_score":0.1134066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145444047376036,"score_gpt":0.3172575681766565,"score_spread":0.2858031277028961,"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."}}