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Record W3185995236

Biophysical Baseline Monitoring of the Skwelwil’em Estuary Restoration in Squamish, British Columbia/ Juvenile Chinook Accessing a Segregated Estuary

2020· article· en· W3185995236 on OpenAlexaboutno aff
Lora Tryon

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEstuaryChinook windBaseline (sea)FisheryJuvenileOceanographySouth carolinaGeographyEnvironmental scienceEcologyFish <Actinopterygii>BiologyGeologyPolitical scienceOncorhynchus
DOInot available

Abstract

fetched live from OpenAlex

The Skwelwil’em estuary in Squamish provides important habitat for chinook salmon smolts prior to their ocean migration. Estuarine diking has resulted in barriers for chinook to access the estuary from the river and has altered critical processes that contribute towards a healthy functioning estuary. The most significant dike was installed in the 1970’s that channelized five kilometers of river mainstem where it enters Howe Sound. This “training berm” was built to accommodate a coal port that was ultimately not developed, however it remains to this day. The Squamish River Watershed Society along with DFO and the Squamish Nation have embarked on a multi-year restoration project with the goal to improve chinook survival through culvert replacement and partial removal of the lower 1-2km of the training berm to reconnect approximately 300ha of flood plain habitat. Two years of monitoring for this project provide a baseline to evaluate changes in ecosystem services to chinook salmon from restoration. This project targets the sensitive early life stage when chinook are navigating from river to estuary to access the appropriate water quality, forage opportunities, and refuge to promote growth and survival. It is expected the same tidal connections that improve access for chinook to the estuary will also improve habitat and water quality conditions for rearing and smolting. This presentation will provide details of the metrics being monitored and their rationale, along with results from the first two years of sampling. Lessons learned and recommendations will also be discussed.

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)0.000
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 score0.173
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.207
Teacher spread0.191 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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