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Record W6979694064

Aardvark Mark IV Joint Services Flail Unit Capabilities Demonstration

2001· article· en· W6979694064 on OpenAlexaboutno aff

Bibliographic record

VenueJMU Scholoraly Commons (James Madison University) · 2001
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsUnit (ring theory)Operator (biology)Joint (building)Product (mathematics)Dual (grammatical number)Control unit
DOInot available

Abstract

fetched live from OpenAlex

The Aardvark Clear Mine, Limited (a private British company) of Scotland has been designing and producing a variety of mechanical minefield clearance machines for seventeen (17) years. The Mark IV Joint Services Flail Unit (MKIV, see picture 1 on the next page) has been in production since 1999, and it is the product of years of improvement to the Aardvark Flail System basic design. Improvements affect engine performance, flail depth, flail control, steering control, operator safety, operator comfort, navigation and maintenance. The steering control (dual steering) can be switched from the operator (in the left seat) to the operator (in the right seat) and vice versa. Because the MKIV creates dust and works in many hostile environments, Mark IV Joint Services Flail Unit Page 2 Capabilities Demonstration Report dual steering is fitted as an aid the operators. The dual steering limits wind direction problems and downtime. During mine clearing operations, the MKIV can clear heavy brush and trees with a diameter of up to 15cm. The MKIV has been purchased by the countries of Canada, Jordan and South Korea. The information in this report is strictly based on the capabilities demonstration and not on a technical evaluation of this technology.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.176
Teacher spread0.166 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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