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Record W2884489970 · doi:10.1115/1.2001-jan-4

Stealth on the Water

2001· article· en· W2884489970 on OpenAlexaboutno aff
Michael Valenti

Bibliographic record

VenueMechanical Engineering · 2001
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNavyMarine engineeringShipyardUnderwaterBattlefieldAeronauticsEngineeringMooringCraftRadarAdversaryOceanographyTelecommunicationsShipbuildingLawGeologyComputer scienceComputer securityHistoryArchaeology

Abstract

fetched live from OpenAlex

The Swedish Navy’s Visby corvette is designed to be virtually invisible in pursuit of hostile submarines and underwater mines. The Visby is designed to be difficult to detect by an enemy using radar, infrared, hydro-acoustic monitoring or any other sensor system. The craft’s success could change naval warfare as profoundly as did the ironclad ships in the 19th century. Sweden’s YS2000 class corvette, the first known production naval stealth vessel, takes shape at Kockums’ shipyard on Karlskrona Island. The Kockums shipwrights designed the Visby to be electronically undetectable at a range greater than 13 km in rough seas, and at more than 22 km in calm seas, without electronic jamming. With the assistance of jamming, the Visby is invisible at more than 8 km in rough waters and 11 km in a calm sea. Computing Devices Canada also designed a monitoring system so that the Visby can perform a background check on its own vibration levels to ensure that the ship’s sound is within acceptable levels.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.005
Open science0.0000.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0470.019

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 head0.012
GPT teacher head0.199
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations4
Published2001
Admission routes1
Has abstractyes

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