Bibliographic record
Abstract
ABSTRACT Turbulent and total energy are known be a very important part of the measurement of oil spill processes. For example, energy is thought to be the single most-important variable in relation to chemical dispersion. Two techniques have been initiated to measure energy. The measurement technique chosen to do this is Particle Image Velocimetry or PIV. In this method, seed particles are put into the fluid and the fluid is illuminated with a laser. The movement of a particle in a given cell is measured as a function of time. This can occur as fast as 30 Hz. Energy can be calculated from at least 2 successive frames. Turbulent energy can be calculated at each point in the image frame. The other method used is the method of using hot wire anemometry. This method can yield data similar to PIV, however requires the intrusion of a probe into the area. The measurements are compared to calculations based on formulations presented in the literature. An important point is that it is shown that a single value does not represent the energy in a vessel (or at sea) because the energy level is not homogeneous throughout the field nor is it simply described. Several of the laboratory vessels have energy fields that are representative of sea conditions.
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 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".