Magnetic resonance imaging of acoustic streaming in gases
Bibliographic record
Abstract
A study was conducted to demonstrate the utility of magnetic resonance imaging (MRI) method for acoustic streaming (AS) in gases. The method used diverse array of possible image contrasts, which were manipulated through careful control of the spin physics during image acquisition to study the phenomenon of AS in gases. The position and velocity sensitization were performed through the use of magnetic field gradients and the pulse sequence timing diagram schematized the sequence of sample manipulation during the measurement. The imaging sequence was applied at 2.4 T to a 2m-long and 20-cm-diameter cylindrical tube filled with propane gas. The first data set showed 15 profiles, each acquired with a different amplitude of motion-sensitizing pulse-field-gradient (PFG) method. These measurements were repeated five times at 15-minutes intervals before, during, and after the establishment of an acoustic standing wave at 835 Hz in the tube.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".