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Record W7057905313

Large scale hull loading of freshwater and brackish ice

2001· article· en· W7057905313 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsHullSea iceScale (ratio)Arctic ice packBrackish waterStructural basinDrift iceWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

The International Northern Sea Route Project addressed the issue of large-scale, ship hull-ice loading, which would be encountered sailing along the Northern Sea Route. Previous work done on ship hull-ice loads has either been measurements with actual ships, small scale model basin tests, or controlled field tests. This project falls into the last category. Phase 1 of this project had been conducted on lake ice near Calgary [1] and had identified the need for further tests on sea ice, focusing on the effects of prior damage on strength, as well as control of rate. To fulfill this requirement, a series of tests in first-year sea ice was carried out at Tuktoyaktuk in the Canadian Arctic. The concept behind these Phase 2 tests was to simulate the impact of a ship hull with an ice cusp. A hydraulic actuator was used to press an indentor plate against the edge of an ice sheet. The objective was to generate loading over a large contact area, 0.3 m2 with a high aspect ratio; i.e., the ratio of the length to height of the contact patch was up to 8:1.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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

Citations0
Published2001
Admission routes2
Has abstractyes

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