{"id":"W1995034911","doi":"10.1371/journal.pone.0098209","title":"In Vitro Shear Stress Measurements Using Particle Image Velocimetry in a Family of Carotid Artery Models: Effect of Stenosis Severity, Plaque Eccentricity, and Ulceration","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Stenosis; Eccentric; Shear stress; Laminar flow; Particle image velocimetry; Medicine; Cardiology; Internal medicine; Turbulence; Materials science; Mechanics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001027023,0.0009646266,0.0009945717,0.0005992082,0.0004589376,0.0007081534,0.0004772553,0.0009356002,0.0003291916],"category_scores_gemma":[0.001131391,0.0005174532,0.0009217234,0.000498673,0.0005236971,0.0003598891,0.0005227836,0.001128389,0.0001406119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005035472,"about_ca_system_score_gemma":0.0005377003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003705686,"about_ca_topic_score_gemma":0.002750314,"domain_scores_codex":[0.9993499,0.0001440796,0.00008354499,0.0001399545,0.0001646206,0.0001179673],"domain_scores_gemma":[0.998951,0.0003176685,0.0002687041,0.0001995339,0.0001482594,0.0001148556],"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":[0.002720493,0.00177432,0.008953696,0.0001458798,0.0001648483,0.000221514,0.0005156047,0.02020271,0.9605201,0.0003035847,0.0001485184,0.004328732],"study_design_scores_gemma":[0.0002019,0.0180355,0.02049853,0.00003707014,0.0004374531,0.0002991051,0.0002537361,0.07258034,0.8859653,0.0003542914,0.0012056,0.0001311539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965883,0.0004030034,0.002504315,0.0000283255,0.00002730836,0.00004600868,0.0001979202,0.00002650015,0.000178245],"genre_scores_gemma":[0.9908574,0.001294282,0.006606704,0.00003528942,0.00002172812,0.000230596,0.000502906,0.00001718261,0.0004338925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003705686,"threshold_uncertainty_score":0.007368207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06208528903432545,"score_gpt":0.2735984176742883,"score_spread":0.2115131286399629,"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."}}