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Record W2793556202

Acidification of the Fraser River due to Urbanization in Vancouver British Columbia and Potential Impact on Salmon Migration

2018· article· en· W2793556202 on OpenAlexaboutno aff
Uzair Ahmed, Andy L. Chang, Caleb Ritchie

Bibliographic record

VenueExpedition · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUrbanizationGeographySpawn (biology)Environmental scienceHydrology (agriculture)FisheryPhysical geographyEcologyBiologyGeology
DOInot available

Abstract

fetched live from OpenAlex

Salmon in BC migrate from the ocean and move up the Fraser river to spawn. Salmon, as well as other aquatic species, thrive in water with pH ranging from 6 – 8. In this experiment, water and soil acidity were examined at different locations along the Fraser River in Richmond, Surrey, and Langley with the objective of observing any effect of the local level of urbanization. It was hypothesized that urban areas would measure lower pH than the rural areas. pH measurements were collected on two different locations, urban and rural within each city and a T-test was performed for each of the three pairs of data to confirm statistical significance indicated by Two-way ANOVA. The results showed a statistically significant decrease in acidity for urban Surrey at a confidence level of 0.05, but not for Langley and Richmond. Differences between cities was observed, but these differences were not statistically significant with the exception of urban Langley and urban Surrey. We conclude that local differences in urbanization do not cause a measureable increase in acidity in the Fraser River.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.778

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)0.0010.000

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 head0.003
GPT teacher head0.195
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 teacher head, 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
Published2018
Admission routes1
Has abstractyes

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