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Record W2278660282 · doi:10.2495/oil020311

Field And Experimental Tainting Of Arctic Freshwater Fish By Crude And Refined Petroleum Products

2002· article· en· W2278660282 on OpenAlexaboutno aff
W.L. Lockhart, Robert Danell, Gary A. Stern, R. K. York

Bibliographic record

VenueWIT Transactions on Ecology and the Environment · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsnot available
Fundersnot available
KeywordsArctic charEnvironmental scienceRainbow troutTasteFisheryPetroleumFish <Actinopterygii>TroutHydrology (agriculture)ToxicologySalvelinusChemistryBiologyGeologyGeotechnical engineeringFood science

Abstract

fetched live from OpenAlex

We have investigated two incidence of tainting of fish from northern Canada: one by effluent spilled born a synthetic crude oil production plant on the Athabasca river in northern Alberta, and one by diesel fuel spilled when a truck overturned near the Cameron River, Northwest Territories. These cases resulted in complaints that whitefish taken downstream fiorn the spill sites became tainted. Supplies of the spilled materials were available, and laboratory tests confined the ability of the spilled materials to produce oily taints in fish. These confirmatory experiments lead to a more systematic study of the relationship between exposure of fish to oil in water and tainting as judged by the responses of taste panels, Fish (rainbow trout and arctic char) were exposed experimentally to three mixtures of Norman Wells oil (nominally 3, 12 and 50 ppm) in water over a period of seventy-two hours. Fish were then transfemed to clean holding tanks where they were held for a fhrther 600-840 hours. Three fish were removed from each tank at intervals over both uptake and clearance phases in order to measure the production and subsequent loss of the oily taste. Taste panel members were selected for their ability to detect, identi~ and rank correctly weak mixtures of oil in water. All panelists were able to discriminate between treated and untreated fish during the uptake phase (mostly by the earliest sampling period of four hours) and early clearance phases. Panelists continued to detect taint in the fish at the end of the clearance phase of the experiment (600 and 840 hours), The implication of these taste panel results is that oil tainting is sensitive to the concentration of oil, the duration of exposure, and duration of the clearance phase. Rainbow trout and arctic char can be expected to become tainted after an exposure of only a few hours and to remain tainted for a month or even longer, following removal to clean water. © 2002 WIT Press, Ashurst Lodge, Southampton, SO40 7AA, UK. All rights reserved. Web: www.witpress.com Email witpress@witpress.com Paper from: Oil and Hydrocarbon Spills III, CA Brebbia (Editor). ISBN 1-85312-922-4

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.215

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)0.0000.000

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 head0.007
GPT teacher head0.191
Teacher spread0.184 · 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 designBench or experimental
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

Citations4
Published2002
Admission routes1
Has abstractyes

Explore more

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