{"id":"W2071487190","doi":"10.1115/1.4027351","title":"Design of a Microfluidic System for Red Blood Cell Aggregation Investigation","year":2014,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Blood properties and coagulation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Mechanics; Computational fluid dynamics; Hematocrit; Newtonian fluid; Velocimetry; Microfluidics; Shear rate; Particle image velocimetry; Volumetric flow rate; Non-Newtonian fluid; Red blood cell; Materials science; Work (physics); Solver; Rheology; Shear stress; Chemistry; Physics; Nanotechnology; Mathematics; Thermodynamics; Composite material; Mathematical optimization","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":[0.0006095353,0.0003928628,0.000635388,0.0004451842,0.0005690023,0.0004855914,0.0007709658,0.0006014678,0.0009263478],"category_scores_gemma":[0.0005356113,0.0003993191,0.0003538118,0.0001842376,0.0003064025,0.0003634459,0.0004523702,0.0003057177,0.0005063535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043626,"about_ca_system_score_gemma":0.001202966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003462223,"about_ca_topic_score_gemma":0.0004154159,"domain_scores_codex":[0.9996587,0.00003631852,0.00004412347,0.00009720898,0.0001223938,0.00004124008],"domain_scores_gemma":[0.9997373,0.00007164532,0.00005771826,0.00002711767,0.00006848352,0.00003769248],"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":[0.0001025978,0.0001287345,0.001142914,0.0003070732,0.00002268481,0.0001489953,0.00006369666,0.005698781,0.965641,0.002873959,0.0005720777,0.02329753],"study_design_scores_gemma":[0.0001311048,0.0009067263,0.004029386,0.00006594773,0.00008969197,0.000452819,0.00003044169,0.07866051,0.8910628,0.0007769211,0.02369887,0.00009479995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2233854,0.002224007,0.7642581,0.0005603348,0.0004303679,0.001786549,0.00065831,0.002225463,0.004471384],"genre_scores_gemma":[0.4009787,0.001008871,0.5929182,0.000214858,0.0001047513,0.002186408,0.0003557561,0.00004869478,0.002183699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009263478,"threshold_uncertainty_score":0.003659427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798351979745372,"score_gpt":0.2027240463550773,"score_spread":0.1847405265576236,"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."}}