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Record W2563363435

The use of simulation in determining operational needs (WIP)

2016· article· en· W2563363435 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSummer Computer Simulation Conference · 2016
Typearticle
Languageen
FieldEngineering
TopicMilitary Strategy and Technology
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsBattlespaceOperations researchCommand and controlEngineeringComputer scienceAeronauticsOperations managementSimulationTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

Over the past five years, the Canadian Forces Warfare Center (CFWC), a unit within the Canadian Joint Operations Center (CJOC), has conducted a series of experiments referred to as the Coalition Attack Guidance Experiment (CAGE). These are structured as human-in-the-loop experiments, conducted at an operational headquarters level by in situ military personnel assuming operational roles. Although each CAGE has had its own emphasis and purpose, the focus of the most recent CAGE was battlespace deconfliction. This included the physical and electronic requirements of each operational position in a Headquarters, such as the command and control systems for joint fires support co-ordination. The interaction between participants and their computers was recorded, providing the data for analysis. These results showed the applications that were most required and those that were not, as well as the applications that could be expected to use the most bandwidth. This information may be used in planning for the construction of a Theater Operations Center and in equipping the essential personnel.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.639
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.086
GPT teacher head0.265
Teacher spread0.179 · 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