SlickMap: An interactive computer model of oil containment by a boom
Bibliographic record
Abstract
Simplified but accurate and efficient FORTRAN-based computational fluid dynamics (CFD) tools were developed for modeling the behavior of a two-fluid (oil-water) flow system, in a vertical plane through the boom apex, with the possibility of including rigid structures such as booms and a rigid bottom (quasi-hydrostatic model for the oil, and inviscid model for the water, plus the effect of friction and dissipation at the oil-water interface and within the slick). Model results were calibrated using OHMSETT's experiments. The CFD tools were linked to and run by SlickMap's VB interface, which automatically sets-up data and grids for the models, using only a few simple user-supplied parameters. SlickMap can provide both significant insight and useful quantitative results regarding oil slick containment by booms. This is an abstract of a paper presented at the 23rd Arctic and Marine Oil Spill Program, AMOP Technical Seminar (Vancouver, British Columbia, Canada 6/14-16/2000).
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) | 0.002 | 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".