Controls on Water Table Fluctuations in Two Salt Marshes on New Brunswick’s Baie des Chaleurs
Bibliographic record
Abstract
"In order to preserve, restore or manage salt marshes, an understanding of their hydrological processes is critical. My research assesses the controls on water table fluctuations in Rivière du Nord and Daly Point salt marshes on New Brunswick’s Baie des Chaleurs. Using data from pressure transducers logging water table levels at intervals of 15 min over the summers of 2018 and of 2019, I determined the impact of tidal channels on marsh soil water drainage. I have located studies on water table fluctuations in only four sites outside of Baie des Chaleurs. In Boston Harbor, soil water drainage occurred only 10 m from the channel. On the Yangtze estuary, soil water drainage was affected at a distance of at least 13 m away from the tidal channel. In Bay of Fundy marshes, the impact of the tidal channel was not found beyond 15 m. Tidal channels on the Hudson River estuary seemed to influence salt marsh soil water drainage at a distance of 36 m from tidal channels. On Baie des Chaleurs, tidal channels had a greater impact on soil drainage, affecting water tables over a distance of at least 42 m at Rivière du Nord and 39m at Daly Point. However, a multiple linear regression analysis, including sample site elevation the marsh and the year along with distance from channel, revealed that all parameters were statistically significant. These results suggest a difference in marsh soil characteristics and yearly sea level."@eng
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".