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Record W2201308007 · doi:10.2495/oil020351

Deleterious Properties Retained By Diesel Fuel Spilled In Northern Canada In Winter

2002· article· en· W2201308007 on OpenAlexaboutno aff
W.L. Lockhart, Brian Billeck, Robert Danell, D.A.J. Murray, R. K. York, Doris H Tilden, K.L. Hall, Gary A. Stern

Bibliographic record

VenueWIT Transactions on Ecology and the Environment · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsDiesel fuelEnvironmental scienceSnowSedimentFuel oilEnvironmental chemistryHydrology (agriculture)GeologyChemistryOceanographyGeomorphologyGeotechnical engineering

Abstract

fetched live from OpenAlex

In March 1983, a fuel truck overturned at a bridge crossing the Cameron River, near Yellowknife, Northwest Territories, Canada, and spilled a quantity of diesel fiel. The spilled diesel fuel penetrated the snow cover, moved along the frozen surface of the ground and entered the ice-covered Cameron River. A sample of diesel fuel was recovered tlom beneath the river ice eight days after the initial spill. This sample from the river was compared with that from the original cargo in the truck in three quantitative and independent ways, namely gas chromatography with a comparison of the sample patterns by principal component analysis, acute toxicity to fish, and tendency to taint fish with an oily taste. The two samples were essentially the same in all respects, except for some subtle but consistent differences in the relative proportions of some individual hydrocarbons. The river samples were shown to contain slightly higher proportions of the Cs to Cq alkane components. Slightly lower proportions of alkanes eluted after CU, possibly as a result of losses due to sediment adsorption or fractionation under the ice. Evidently the low ambient temperatures and cover by ice and snow reduced greatly the ‘weathering’ phenomenon often described with spilled oils, and permitted the oil to retain its toxic and tainting properties.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.998

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)0.0030.000

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 head0.005
GPT teacher head0.150
Teacher spread0.145 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueWIT Transactions on Ecology and the EnvironmentSame topicToxic Organic Pollutants ImpactFrench-language works237,207