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Record W4302474159 · doi:10.5957/icetech-2012-140

ARKTOS New Developments

2012· article· en· W4302474159 on OpenAlexaboutno aff
Bruce Seligman, Frank G. Bercha

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsCoast guardEnvironmental scienceCraftArcticMarine engineeringSea iceOil spillComputer scienceMeteorologyOceanographyEngineeringGeologyGeographyEnvironmental protectionArchaeology

Abstract

fetched live from OpenAlex

The ARKTOS vehicle is an amphibious craft system capable of operation in a wide range of Arctic ice conditions and seastates. It is approved as an evacuation system by various regulators, including the US Coast Guard (USCG), and is currently operational in several marine cold regions as an EER and utility system. Following is a description of recent additional operational and ergonomical tests of the 52 Person USCG Approved ARKTOS Evacuation Craft. This description is followed by a summary of some of the ongoing developments for the system in oil spill control, ice management, and its extension to new applications in forestry and pipeline construction in swampy locations. As part of a reliability investigation of the ARKTOS EER capability, a series of non-Arctic calm condition manoeuvrability and performance drills were carried out to focus on both global performance and operator ergonomic factors. These tests were carried out at a temperate location in the Fraser River Delta and Robert’s Bank, near Vancouver, B.C. Operation of the Craft in deep water with jets only, shallow water using both tracks and jets, and on tidal flats above water using tracks only. The planned utilization of the Craft by ENI Petroleum, Inc. in the Beaufort Sea is described. Next, descriptions of some other current new developments for oil spill cleanup, river and sea ice management, and disaster response applications are given. Conclusions and recommendations for further developments and reliability improvements are given.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.303

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 head0.009
GPT teacher head0.172
Teacher spread0.163 · 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 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
Published2012
Admission routes1
Has abstractyes

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