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Record W2141770325 · doi:10.1109/iembs.1999.804131

Power Doppler ultrasound imaging of red blood cell aggregation

2003· article· en· W2141770325 on OpenAlexaff
Guy Cloutier, Louise Allard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicBlood properties and coagulation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEchogenicityErythrocyte aggregationDoppler effectBlood flowShear rateUltrasoundRed blood cellVolumetric flow rateShear (geology)Doppler ultrasoundBiomedical engineeringMaterials scienceAcousticsPhysicsMedicineRadiologyHematocritMechanicsInternal medicineRheologyComposite material

Abstract

fetched live from OpenAlex

The objective was to evaluate the effect of the shear rate on red blood cell (RBC) aggregation with power Doppler ultrasound (PDU) and color Doppler flow (CDF) imaging. CDF was used to estimate the velocity profile and the shear rate across the tube. PDU was used to estimate the echogenicity of blood and the level of aggregation. The results show that PDU depends on the shear rate and flow rate. The power variations were measured at shear rates below 40 s/sup -1/, where RBC aggregation is maximum.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.217
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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