A streak length‐based method for quantifying red blood cell flow in skeletal muscle arteriolar networks
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Bibliographic record
Abstract
Abstract Objective To develop an experimental method to quantify RBC flow throughout skeletal muscle arteriolar networks. Methods Data on arteriolar geometry were obtained using IVVM of the rat GM. RBC velocities and number densities were also obtained during these experiments using fluorescently labeled RBCs. Arteriolar and RBC data were combined to estimate blood volume flow rates, H T and H D values, and RBC volume flow rates. Validation of hematocrit and RBC flow results was performed at arteriolar bifurcations using both mass balance and comparisons to an established model of the PS effect. Results Estimated H T values were within the expected range (6%‐34%) for the arterioles considered (29‐130 μm). RBC mass balance error was 18 ± 16% (mean ± SD, n = 7 bifurcations). RBC outflow from diverging bifurcations as a function of RBC inflow was given by Y = 0.986* X + 0.331 with R 2 = 0.987. Outflow H T as a function of the PS prediction was given by Y = 1.034* X + 0.004 with R 2 = 0.691. RBC outflow as a function of the prediction was given by Y = 0.917* X + 0.804 with R 2 = 0.891. Conclusions An experimental method has been developed and validated that can easily and accurately quantify RBC flow distribution in large skeletal muscle arteriolar networks and provides direct estimates of H T values.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it