Introduction and Scope
Bibliographic record
Abstract
The Coastal Ocean The coastal ocean comprises the semi-enclosed seas on the continental shelf, including estuaries and extending to the shelf break. Geographically the scope is approximately that of the Exclusive Economic Zone for which nation-states are responsible. The coastal ocean is the focus of many serious concerns, including coastal inundation by tide, storm, or sea level change; fisheries and aquaculture management; water quality, health, and pollution; harmful algae blooms; facilities siting and planning; ports and harbor development and maintenance; spills and other accidents. All fall within the scope of science, engineering, and development. All demand professional competence in promoting wise and healthy use of this critical region, and in anticipating, monitoring, and responding to events therein. The Virtual Environment Computational Circulation Products . A realistic simulated or virtual environment (herein “the environment”) is becoming available for scientific and engineering use. This takes the form of site-specific computational products for the baseline physical fields. Simulated particles in these fields offer the possibility of high realism, facilitating advanced analysis. Equations and Variables . Well-defined equations and variables characterize the coastal ocean. For our purpose, the bundle of “physical” variables includes pressure, velocity, temperature, salinity, light, nutrients, and subgrid or unresolved mixing rates (typically in the form of turbulent energy, mixing length, a stability parameter, and eddy diffusivity). These all share very conventional formulations for their evolution and transport. This scientific foundation has advanced very far and supports the construction of site-specific environments. Randomness . There will always be unresolved dynamics, and they must be accounted for, both in motion and in biotic development. At the simplest level, there is truncation error, equation error, and forcing uncertainty. These all contribute to a distribution of possibilities for the environment itself. In addition, there is uncertainty about basic biotic rates and their distribution across individuals in the same population. Perhaps most fundamentally, in setting out a gridded calculation and product, the real motion at the subgrid will have at best a statistical description. Particles live in the subgrid, and influences there can only be statistically described.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.226 | 0.108 |
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 source (direct Gemma or distilled Codex), 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".