Modeling the dispersion of tracers in the marine environment: A model sensitivity study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Precise and efficient numerical simulation of tracer transport processes in the marine environment is critical for environmental problems. Particle tracking method has the advantages over Eulerian method by overcome the problem of numerical diffusion but the concentration from typical particle tracking methods is affected by the number of particles used and the size of the volume cell. DREAM model used a hybrid numerical analytical approach to reduce its dependency on these parameters. A sensitivity study has been conducted to evaluate DREAM model's sensitivity to a number of parameters including: number of particles, resolution of grid, time steps, and grid systems. The results indicated that DREAM is a robust model and it has little dependency on these parameters, except at early stages of the release.
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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 | 0.001 | 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