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Record W2103025676

Variation in Surface Sediment Deposition on Salt Marshes in the Bay of Fundy

2001· article· en· W2103025676 on OpenAlexaff
Gail L. Chmura, Amanda Coffey, Ryan Crago

Bibliographic record

VenueJournal of Coastal Research · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsBaySalt marshMarshSedimentTidal rangeGeologyHydrology (agriculture)OceanographyAccretion (finance)Deposition (geology)Environmental scienceSedimentary budgetEstuarySediment transportGeomorphologyWetlandEcology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study is to document the magnitude and variability in surface sediment deposition in salt marshes along the New Brunswick coast of the Bay of Fundy. We measured the thickness of sediment accumulated over clay marker horizons for the period of one year. Sediments were sampled at seven sites from the head of the Bay to the outer Bay, distributed to span a gradient in tidal range (6-12 m). Within each marsh sample plots were located to control for relative elevation, distance from vegetated edge, and vegetation zone. Accumulated sediment was greater than 4 cm on some plots. Sediment accumulation generally decreases with relative elevation and distance from vegetated edge within marshes and increases with tidal range, which tends to co-vary with suspended sediment concentration. We conclude that changes in sediment supply will have the greatest impact on low marsh accretion while changes in sea level or marsh hydrology will be most important to high marsh accretion.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.316
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations64
Published2001
Admission routes1
Has abstractyes

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