{"id":"W1989479459","doi":"10.1115/icnmm2012-73056","title":"Blood Velocity Profile Measurements in Microchannels Using Micro-Particle Image Velocimetry","year":2012,"lang":"en","type":"article","venue":"","topic":"Blood properties and coagulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle image velocimetry; Hematocrit; Velocimetry; Particle tracking velocimetry; Biomedical engineering; Materials science; TRACER; Biocompatible material; Particle size; Polymer; Particle (ecology); Silicone; Flow velocity; Blood flow; Flow (mathematics); Chemistry; Mechanics; Composite material; Physics","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":[0.0003565933,0.0001185918,0.0001911988,0.00005749828,0.0000586285,0.00001648886,0.0000474632,0.00007561538,0.0004213987],"category_scores_gemma":[0.00003818647,0.00009778384,0.00004865981,0.0002381994,0.00003061642,0.0002415574,0.00004566968,0.0001133017,0.00009861185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006539796,"about_ca_system_score_gemma":0.00004662819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002601449,"about_ca_topic_score_gemma":0.000007239629,"domain_scores_codex":[0.9989526,0.00003909033,0.0002434237,0.0001590061,0.0002064006,0.0003994234],"domain_scores_gemma":[0.9995651,0.000008053432,0.00004509935,0.0001705768,0.00008567861,0.0001255064],"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":[0.00005867046,0.0004218465,0.2064154,0.00004736674,0.00003784108,0.000001541639,0.0003415988,0.000001341117,0.7914851,0.000007688222,0.0001004831,0.001081088],"study_design_scores_gemma":[0.001462782,0.00005483163,0.1145016,0.00005781568,0.0001084467,0.00003501325,0.0001985666,0.0008065699,0.8825675,0.000008626115,0.00007549771,0.0001227608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963778,0.0008634572,0.000297306,0.0001917311,0.0001033366,0.000350573,0.000001540473,0.00004550985,0.001768743],"genre_scores_gemma":[0.9816273,0.000003981779,0.01729748,0.0003692484,0.0001468123,0.00001028644,0.000005867799,0.00001988658,0.0005191489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09191379,"threshold_uncertainty_score":0.461402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07629698452843198,"score_gpt":0.2977867316239468,"score_spread":0.2214897470955148,"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."}}