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Record W2557970339 · doi:10.4043/27486-ms

Full Scale Ice Trials of the Icebreaking Research Vessel R/V Sikuliaq

2016· article· en· W2557970339 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArctic Technology Conference · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsAker Arctic (Canada)
Fundersnot available
KeywordsTowingScale (ratio)MeteorologyFull scaleEnvironmental scienceEngineeringAeronauticsMarine engineeringSystems engineeringComputer scienceGeographyCartographyElectrical engineering

Abstract

fetched live from OpenAlex

Abstract AKAC participated in the full scale ice trials of the newly built R/V Sikuliaq, owned by the National Science Foundation and operated by the University of Alaska-Fairbanks. The purpose of the trials was to identify its ability to conduct science missions in ice, as well as to develop operational procedures for conducting independent science missions in ice. This paper gives an overview of the key design features of the R/V Sikuliaq that enable it to conduct science missions in ice, as well as the observations and results from the full scale trials. This paper provides real life experience on the operational performance of a state of the art research vessel. The experiences shared in this paper are applicable to a wide range of operations in ice, including station keeping in ice and towing in ice.

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.

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)0.003
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.303
Teacher spread0.236 · 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