{"id":"W4298165151","doi":"10.1615/tsfp9.1230","title":"EXPLORING THE INTERACTION OF RED BLOOD CELL ANALOGS WITH TURBULENCE USING PARTICLE TRACKING VELOCIMETRY","year":2015,"lang":"en","type":"article","venue":"Proceeding of Ninth International Symposium on Turbulence and Shear Flow Phenomena","topic":"Blood properties and coagulation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Université Laval; Queen's University","funders":"","keywords":"Particle tracking velocimetry; Turbulence; Towing; Velocimetry; Mechanics; Materials science; Particle (ecology); Particle image velocimetry; Tracking (education); Physics; Optics; Engineering","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":[0.0002558537,0.0002128792,0.0002678536,0.0001428794,0.0001818681,0.0004180448,0.0001287355,0.0002384671,0.0003856189],"category_scores_gemma":[0.000305302,0.0001149378,0.0002199374,0.0001590304,0.0002279892,0.0002476899,0.0001828294,0.0003530057,0.0000675965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415,"about_ca_system_score_gemma":0.000213544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007751683,"about_ca_topic_score_gemma":0.0006750006,"domain_scores_codex":[0.9998003,0.00003997959,0.00001334249,0.0000370681,0.00006758163,0.00004182455],"domain_scores_gemma":[0.9998323,0.00006990538,0.00004608146,0.00001033817,0.00002054199,0.0000207732],"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":[0.00004408575,0.00001715245,0.0005368931,0.00001723429,0.000003341268,0.00002409791,0.00001653828,0.000172689,0.9979996,0.00007577398,0.00001332149,0.00107917],"study_design_scores_gemma":[0.000006585682,0.000230742,0.004582841,0.000002832077,0.00001128524,0.00004040788,0.0000260774,0.00501603,0.9895833,0.00004478242,0.0004482658,0.000006890108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894544,0.0004748189,0.009344853,0.0000423264,0.00001444786,0.00002494164,0.00005246679,0.00002560365,0.0005662216],"genre_scores_gemma":[0.9887523,0.0003860997,0.01002953,0.00004863767,0.000008947623,0.00003464537,0.00009357595,0.00001053561,0.0006357071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007751683,"threshold_uncertainty_score":0.001752257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09842006998513354,"score_gpt":0.2737218739002059,"score_spread":0.1753018039150723,"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."}}