MétaCan
Menu
Back to cohort
Record W2068171788 · doi:10.7901/2169-3358-2005-1-841

ENHANCEMENTS TO STOCK CCG TRANSFER PUMPS/SKIMMER UNITS

2005· article· en· W2068171788 on OpenAlexaboutno aff
D. H. Cooper, Robb Mackay, Carl E. Brown

Bibliographic record

VenueInternational Oil Spill Conference Proceedings · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsCoast guardGuard (computer science)Stock (firearms)Oil spillEnvironmental scienceComputer scienceWork (physics)BusinessPetroleum engineeringOperations researchEngineeringEnvironmental protectionMechanical engineering

Abstract

fetched live from OpenAlex

ABSTRACT A number of modifications and enhancements of the two primary transfer pump/skimmer units, specifically the GT-185 and GT-260 stocked by the Canadian Coast Guard have been proposed over the past few years. Much of the focus of the testing during this time has centered on dealing with very viscous oils, but the proposed changes will impact the performance of these devices when dealing with any oil. This paper details the development of a collaborative series of projects supported by Environment Canada and the Canadian Coast Guard over the past six years. It provides background information on the original problems or design limitations of the oil spill recovery equipment. Descriptions of the subsequent modifications are presented, along with performance information which quantifies any improvements to performance. The work has evolved to include partnerships with federal government organizations from Canada and the United States, along with contributions by manufacturers of similar spill response equipment during testing trials.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.997

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.003

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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueInternational Oil Spill Conference ProceedingsSame topicOil Spill Detection and MitigationFrench-language works237,207