{"id":"W2072387177","doi":"10.1109/tuffc.2011.2129","title":"Forward Problem Study of an Effective Medium Model for Ultrasound Blood Characterization","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Blood properties and coagulation","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Centre National de la Recherche Scientifique; Pennsylvania State University","keywords":"Aggregate (composite); Compact space; Hematocrit; Computational physics; Goodness of fit; Erythrocyte aggregation; Biological system; Physics; Mathematics; Algorithm; Analytical Chemistry (journal); Mathematical analysis; Materials science; Chemistry; Statistics; Chromatography; Nanotechnology","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":[0.0003004112,0.0002570198,0.0004750529,0.000220212,0.0002037107,0.00002239501,0.00009334002,0.0001770681,0.00001562831],"category_scores_gemma":[0.00002553228,0.0002214116,0.0001193749,0.0002899224,0.00004578464,0.0002356639,3.815652e-7,0.0002628059,5.904182e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004330861,"about_ca_system_score_gemma":0.0001108761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001329458,"about_ca_topic_score_gemma":0.0001417414,"domain_scores_codex":[0.9984709,0.00007584634,0.0004621885,0.0004143192,0.0002632894,0.0003134692],"domain_scores_gemma":[0.9988433,0.0001546109,0.0001806143,0.000288467,0.0003712144,0.0001617575],"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":[0.006938606,0.0184407,0.004411267,0.0004862656,0.002314169,0.00001106439,0.01391268,0.002497636,0.8144714,0.0008971582,0.000003533339,0.1356155],"study_design_scores_gemma":[0.03448725,0.04947813,0.02628768,0.000162232,0.007143076,0.0001667137,0.0006206014,0.7301196,0.1474997,0.003043238,0.000007480936,0.0009842375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5571709,0.00005770467,0.4400559,0.00002580106,0.00007074491,0.002436872,0.00007366986,0.00004696591,0.00006148395],"genre_scores_gemma":[0.9965634,0.0001107938,0.002334279,0.0001201016,0.00003662602,0.000689107,0.00002857917,0.00004903795,0.00006802256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.727622,"threshold_uncertainty_score":0.9028903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984156910268968,"score_gpt":0.2353634414059918,"score_spread":0.2155218723033021,"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."}}