{"id":"W2067802007","doi":"10.1121/1.3561653","title":"Assessment of accuracy of the structure-factor-size-estimator method in determining red blood cell aggregate size from ultrasound spectral backscatter coefficient","year":2011,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Blood properties and coagulation","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Isotropy; Hematocrit; Estimator; Aggregate (composite); Backscatter (email); Particle size; Atomic packing factor; Sample size determination; Materials science; Mathematics; Physics; Statistics; Computational physics; Optics; Nuclear magnetic resonance; Chemistry; Computer science; Nanotechnology","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":[0.0004742952,0.0001686355,0.0005862263,0.00001315979,0.00007788161,0.00000711757,0.0005127984,0.00008811811,0.0003522867],"category_scores_gemma":[0.0006186096,0.00007535442,0.0004573659,0.0002315647,0.0004548706,0.00005379284,0.0001394652,0.0005704181,2.434326e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005077995,"about_ca_system_score_gemma":0.00019465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002195239,"about_ca_topic_score_gemma":0.000001303599,"domain_scores_codex":[0.9979427,0.0003162229,0.0007968828,0.0001164991,0.0006094642,0.0002182579],"domain_scores_gemma":[0.9960383,0.001925329,0.001323435,0.0004529096,0.0001890527,0.00007098741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003431542,0.0004964942,0.02475056,0.0001146774,0.0003984814,0.000001455627,0.00345574,0.002609736,0.9655465,0.000001254497,0.0002805516,0.002001415],"study_design_scores_gemma":[0.001932161,0.0006872619,0.6366843,0.0004930747,0.001684456,0.00007827909,0.002478629,0.0240406,0.3313392,0.0004364244,0.00001934847,0.0001262636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850334,0.0001686864,0.01319486,0.001071409,0.0001501482,0.0002479549,0.00003015946,0.000003496007,0.00009991488],"genre_scores_gemma":[0.8793806,0.00008416877,0.1199467,0.0004807146,0.00007189795,4.796622e-7,3.141138e-7,0.00001606161,0.0000190069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6342073,"threshold_uncertainty_score":0.3857293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841793038361567,"score_gpt":0.2808987654096822,"score_spread":0.2624808350260666,"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."}}