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ROYAL CANADIAN NAVY - FIGHTING THE INTERNAL BATTLE WITH A BATTLE DAMAGE CONTROL SYSTEM AND EMBEDDED KILL CARDS

2018· article· en· W2915872548 on OpenAlexfundaboutno aff
M Nottegar, Timothy L. Gauthier, S Pakianathan, Yvan Lamontagne

Bibliographic record

VenueConference Proceedings of INEC · 2018
Typearticle
Languageen
FieldEngineering
TopicEngineering and Test Systems
Canadian institutionsnot available
FundersMinistère de la Défense Nationale
KeywordsBattleNavySoftware deploymentComputer securityAeronauticsCommand and controlNaval warfareFloat (project management)EngineeringComputer scienceLawHistoryTelecommunicationsMarine engineeringPolitical scienceOperating systemAncient history

Abstract

fetched live from OpenAlex

Naval ships are designed for deployment in extreme and dangerous environments. In order to meet their external battle requirements and achieve mission success naval ships must maintain their ability to Float, Move and Fight. All actions taken to contain and prosecute damage, and repair and restore the capability to support the External Battle are recoverability actions and form what is called the Internal Battle. Through the ongoing development of a Battle Damage Control System and embedded Kill Cards the Internal Battle is better prosecuted through improved picture compilation, system monitoring plus personnel accountability.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.184
Threshold uncertainty score0.370

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0400.010

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 head0.005
GPT teacher head0.170
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 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
Published2018
Admission routes2
Has abstractyes

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