The biogeochemistry of a restoring macrotidal salt marsh : Cheverie Creek, Nova Scotia
Bibliographic record
Abstract
The biogeochemistry of a restoring macrotidal salt marsh: Cheverie Creek, Nova Scotia By: Christa Skinner Vegetation, hydrology, sediment characteristics, and soil chemistry were studied at Cheverie Creek Salt Marsh Restoration Site, NS.Sampling was conducted during the spring and summer months of 2014 to determine how hypertidal minerogenic salt marshes influence aboveground biomass production over the growing season.Aboveground biomass, sulfide concentration, salinity, and redox potential measurements were taken at each sampling location approximately every 2 weeks throughout the growing season.Sediment cores were taken once at each location to determine bulk density, organic matter, water content and grain size.Inundation frequency and duration were determined throughout the sampling period.Hydrology measured by water level recorders was found to influence salinity and redox potential, whereas sulfide concentration increased throughout the growing season.Sediment characteristics and soil chemistry were found to influence aboveground biomass production throughout the growing season.Areas surrounding pannes were associated with low aboveground biomass, highest salinity, high sulfide and low redox potential.April 1, 2016 I would like to thank my supervisor, Dr. Danika van Proosdij for taking me on as a student, sticking with me when one life event led into another, and allowing me to take charge of my project.Without her support and guidance, I would never have been able to take this project from thought through to completion.Thank you to the other members of
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".