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Record W4387616308 · doi:10.47339/ephj.2023.224

Correlational Study of Escherichia coli Concentrations and Coastal Water Temperatures in Metro Vancouver’s Routine Beach Water Quality Reports from 2016-2022

2023· article· en· W4387616308 on OpenAlexaffvenueabout
Ghazal Nikjou-Helabad, Amardeep Kambo

Bibliographic record

VenueBCIT Environmental Public Health Journal · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicFecal contamination and water quality
Canadian institutionsBritish Columbia Institute of Technology
Fundersnot available
KeywordsRecreationBathingWater qualityEnvironmental scienceClimate changePublic healthEnvironmental healthEnvironmental engineeringHydrology (agriculture)Water resource managementGeographyEcologyMedicineBiologyEngineering

Abstract

fetched live from OpenAlex

The impact of climate change and the resulting more frequent heatwaves severely affect public health, as seen in the record-breaking 2021 Western North America heat wave. The elevated coastal water temperatures caused by rising ambient temperatures are expected to lead to increased recreational water use, which could contribute to higher levels of Recreational Water Illnesses (RWIs) due to the growth of specific pathogens. This study investigates any potential correlation between Escherichia Coli levels and coastal water temperatures in Routine Beach Water Quality reports from Metro Vancouver from 2016-2022. Furthermore, it aims to create a standardized Bathing Water Quality Index (BWQI) to reduce public exposure to pathogens and prepare for future extreme weather events.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.614
Threshold uncertainty score0.767

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.033
GPT teacher head0.287
Teacher spread0.253 · 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

Citations1
Published2023
Admission routes3
Has abstractyes

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