MétaCan
Menu
Back to cohort
Record W2789772971

Homeward bound: A population study on Chinook Salmon (Oncorhynchus tshawytscha) in the Capilano River

2018· article· en· W2789772971 on OpenAlexaboutno aff
April Houweling, Juhui Lee, Miji Lee, Denée Nickel

Bibliographic record

VenueExpedition · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChinook windOncorhynchusHatcheryFisheryPopulationGeographyEnvironmental scienceBiologyFish <Actinopterygii>Demography
DOInot available

Abstract

fetched live from OpenAlex

The decline of Pacific salmon populations on the west coast of Canada has been observed for decades. Hatcheries are used as one solution to this issue, however the benefits and detriments of releasing hatchery-grown salmon into the wild are widely debated. We investigated the release and return numbers of Chinook salmon, Oncorhynchus tshawytscha , at the Capilano River Hatchery in North Vancouver, British Columbia. This study focuses on: (1) establishing whether or not there is a declining trend in the number of returning Chinook salmon over the past seven years, and (2) deciphering the survival rate of a population of salmon. Data was collected by counting the returning Chinook salmon over 10 trials of one hour each. We calculated daily average as well as the use of the release and return data of previous years at the Capilano River Hatchery. The returning rate of Chinook salmon over the past seven years displayed a declining trend until the input of our data, which may be a result of unaccounted environmental factors, such as river height. The return numbers for the 2010 population of Chinook salmon was less than 1.28% in comparison to the amount of salmon released (98.1%). When comparing 2010-2016 return numbers per year, there was no significant effect on returns (z=0.864, df=6, p=0.3875), but there was a significant effect of both Sea Surface Temperature (SST) (z=2.343, df=6, p=0.0191) and an interaction between year and SST (z=-2.338, df=6, p=0.0194) on return numbers. The benefits of these hatcheries remain unclear and should be further studied.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.254
Teacher spread0.240 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueExpeditionSame topicFish Ecology and Management StudiesFrench-language works237,207