Modelling the sea level of the upper Bay of Fundy
Bibliographic record
Abstract
A high resolution model of the upper Bay of Fundy was developed to simulate the tides and sea level. The model includes the wetting and drying (inundation) of the extensive tidal flats in Minas Basin. The model reproduces the dominant M2 tidal harmonic with an error on the order of 0.30 m, and the total water level in Minas Basin with an r.m.s. error of 0.30–0.50 m. Overall the system is capable of a sea level simulation with a relative error of ∼10%. The motivation for the model development was the simulation of the land/water interface (instantaneous coastline) to aid in the validation of coastline retrieval algorithms from remotely sensed observations. Comparison of observed and simulated coastlines showed that a high quality representation of the local topography/bathymetry is as important as the sea level simulation in the calculation of the coastline. For example, long narrow features such as dykes are difficult to resolve in a dynamical model but are important for the inundation of low lying areas.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".