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Record W2245814443

Construction Aspects of Building an Evacuation Route through Rubble Surrounding Beaufort Sea Structures

2007· article· en· W2245814443 on OpenAlexvenueno aff
Paul Spencer, W. G. Graham, Anne Barker, G.W. Timco, Brian D. Wright

Bibliographic record

VenueNPARC · 2007
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRubbleBeaufort seaBeaufort scaleSea iceWork (physics)Environmental scienceEngineeringGeologyMeteorologyOceanographyGeotechnical engineeringGeography
DOInot available

Abstract

fetched live from OpenAlex

For EER plans involving on-ice evacuation methods in the winter, an emergencyshelter located on the adjacent ice is an important safety element for personnelworking in oil or gas facilities in the Beaufort Sea. The ice surrounding a structurecan vary from thin level first year ice to grounded rubble or ridges. The speed andsafety of walking over the ice surface is strongly affected by the surface roughnessand degree of ice rubble. Thus, a groomed trail from an oil or gas structure to anemergency shelter should be constructed that is suitable for walking. This paperdiscusses the methods, equipment required, construction duration and associated risksto efficiently construct and maintain the trail. The emphasis is on practical methodsthat can work in the wide range of ice and weather conditions that can occur in theBeaufort Sea region during the winter and spring.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.246
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2007
Admission routes1
Has abstractyes

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