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Record W7033406994

Physical modelling of vehicle performance in high-amplitude and high-rate manoeuvres

2002· article· en· W7033406994 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMethodology and Impact of Social Science Research
Canadian institutionsnot available
Fundersnot available
KeywordsAerodynamicsWork (physics)Stability (learning theory)Experimental dataSubmarineVehicle dynamicsMathematical modelPhysical modelling
DOInot available

Abstract

fetched live from OpenAlex

The disciplines of hydrodynamics and aerodynamics use similar theory and methods in experimental work on high-amplitude and high-rate manoeuvres with free-flight and free-swimming models, in analysis techniques when extracting dynamic stability derivatives from measured free trajectories and measured hydrodynamic or aerodynamic loads, and in the design of suitable control systems for such manoeuvres in up to six degrees-offreedom. Research using the NRC-IMD Marine Dynamic Test Facility (MDTF) has established new methods and standards in each of these areas. This paper outlines the relevant capabilities of MDTF and discusses some recent analyses of data from submarine model experiments.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.152
GPT teacher head0.373
Teacher spread0.221 · 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.

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

Citations3
Published2002
Admission routes1
Has abstractyes

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