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Record W2322832830

Vessel Damage in the Canadian Arctic.

2003· article· en· W2322832830 on OpenAlexfundvenueaboutno aff
Ivana Kubat, G.W. Timco

Bibliographic record

VenueNPARC · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
FundersTransport Canada
KeywordsArctic ice packArcticGeologySea iceClimatologyEnvironmental sciencePhysical geographyOceanographyGeography
DOInot available

Abstract

fetched live from OpenAlex

A large number of vessels operating in ice-covered waters have been damaged by ice. The extent of damage ranges from slight deformation of the hull to large fracture or puncture. It is important to understand and classify the type and extent of damage to minimize future damage. Detailed information on ship damage in the Canadian Arctic since 1978 has been collected along with the ice conditions that caused the damage. This paper provides information on the type of damage and the ice conditions that caused damage for different Vessel Classes. An analysis is made based on the presence or absence of multi-year ice. The data and analysis show that in 73% of the damage events, there was multi-year ice present in the ice regime. Further, the data show that more severe damage events occur with multi-year ice in the ice regime. Overall, the analysis clearly illustrates that the major factor causing vessel damage is contact with multi-year 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.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.656
Threshold uncertainty score0.996

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)0.0050.000

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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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

Citations12
Published2003
Admission routes3
Has abstractyes

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