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FACTORS AFFECTING MICROBIOLOGICAL WATER QUALITY AT SIXTEEN BEACHES IN SOUTH‐WEST WALES

2003· article· en· W2009162596 on OpenAlex
Paul Edwards, A. S. Headley, F. H. Machin, A. M. Scarr

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWater and Environment Journal · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsMinistry of Environment
Fundersnot available
KeywordsWater qualityEnvironmental scienceBathingHydrology (agriculture)SalinityGeographyOceanographyEcologyEngineering

Abstract

fetched live from OpenAlex

ABSTRACT Routine monitoring data from 1993 to 1999 were analysed to elucidate relationships between microbiological water quality and enviranmental conditions at sixteen EC identified bathing waters in South‐West Wales. The objective was (a) to gain an understanding of the factors affecting non‐compliance with the guideline standard of the EC Bathing Waters Directive, (b) to aid the development of action plans for improved bathing‐water quality, and (c) to enable effective targeting of future investigations. The analyses demonstrated relationships between water quality and rainfall, sunshine, tidal range, tidal state, time of sampling, time of year, wind speed, wind direction, state of sea, transparency, river flows, river quality, salinity and temperature. The temporal and spatial variability in water quality shown by this study also highlights the need to ensure that monitoring programmes represent conditions at the times and locations of greatest bathing‐water use.

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.

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)0.001
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 score0.091
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0060.000

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 head0.056
GPT teacher head0.261
Teacher spread0.205 · 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