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Record W4408293153 · doi:10.1016/j.apor.2025.104510

Design and performance of an open-circuit marine icing wind tunnel

2025· article· en· W4408293153 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

VenueApplied Ocean Research · 2025
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsNational Research Council CanadaCommunity Sector Council Newfoundland and Labrador
Fundersnot available
KeywordsIcingWind tunnelMarine engineeringEngineeringEnvironmental scienceMeteorologyAerospace engineeringPhysics

Abstract

fetched live from OpenAlex

Marine icing presents a challenge for ship and floating structure operations in high latitudes. Without mitigation, ice accumulation can lead to structural damage and loss of stability. This problem is not new but there has been renewed interest in icing mitigation in recent years as shipping and resource exploration have pushed towards the poles. To investigate the phenomena associated with marine icing, an open-circuit icing wind tunnel was built with the express goal of evaluating coatings designed to mitigate ice accretion on marine structure topsides including flat and tubular shapes. The wind tunnel was designed to provide wind speeds up to 15 m/s in air temperatures as low as −22 °C. A system was devised to introduce fresh or salt water into the wind tunnel to simulate of freezing spray or heavy precipitation.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.061
GPT teacher head0.310
Teacher spread0.249 · 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