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Record W2589015292

Environmental Response in a New Crude Landscape

2015· article· en· W2589015292 on OpenAlexaboutno aff
Kurt Hansen, Sara Booth

Bibliographic record

VenueCoast Guard Journal of Safety & Security at Sea, Proceedings of the Marine Safety & Security Council · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsAsphaltEnvironmental scienceGallon (US)Crude oilPetroleumPetroleum productOil sandsOil spillPipeline transportHydrology (agriculture)Waste managementPetroleum engineeringEnvironmental engineeringGeologyArchaeologyGeotechnical engineeringGeographyEngineering
DOInot available

Abstract

fetched live from OpenAlex

This article discussed how the nation has experienced an increase in unconventional petroleum product transportation over the last five years. One of these products, known as diluted bitumen or dilbit, is created by blending the dense and viscous bitumen found in Canadian oil sands with lighter hydrocarbon products known as diluents. The bitumen’s density and viscosity is reduced, which allowed it to flow in transport, and this has added complexity to potential spills, compared to more conventional crude oils. Because there has only been two major dilbit spills in North American waters, both attributed to pipelines. information is limited. One of these spills occurred in the brackish water of Burrard Inlet, Burnaby, British Columbia, and resulted in a discharge of about 59,000 gallons. The other occurred near Marshall, Michigan, where more than 840,000 gallons was spilled into a creek that led to the Kalamazoo River. Compared to conventional crude oil, diluted bitumen has increased airborne hazards, and an increased probability of sinking.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.014
GPT teacher head0.200
Teacher spread0.187 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCoast Guard Journal of Safety & Security at Sea, Proceedings of the Marine Safety & Security CouncilSame topicOil Spill Detection and MitigationFrench-language works237,207