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Record W2094844955 · doi:10.1002/sys.20133

Human view dynamics—The NATO approach

2009· article· en· W2094844955 on OpenAlexaboutno aff
Holly A. H. Handley, Robert J. Smillie

Bibliographic record

VenueSystems Engineering · 2009
Typearticle
Languageen
FieldComputer Science
TopicPetri Nets in System Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsInteroperabilityComputer scienceSystems engineeringSystem dynamicsModeling and simulationSoftware engineeringData scienceEngineeringSimulationArtificial intelligenceWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract A methodology was established to use the data captured in the NATO Human View to populate a simulation model; this provides a dynamic instantiation of the Human View data. The Improved Performance Research Integration Tool (IMPRINT), provided by the U.S. Army Research Laboratory was used as the simulation environment. By creating the Human View Dynamics, the data captured in the static products can be evaluated through tradeoff analysis and performance criteria. The demonstrated interoperability of the Human View static products and the IMPRINT dynamic modeling capability resulted in a mapping between the two domains. Additionally, the capability of the Integrated Performance Modeling Environment (IPME) used by Canada and the United Kingdom as a simulation environment was reviewed. © 2009 Wiley Periodicals, Inc. Syst Eng

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)0.003
metaresearch head score (Gemma)0.004
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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0040.006
Open science0.0020.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.015
GPT teacher head0.222
Teacher spread0.207 · 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

Citations18
Published2009
Admission routes1
Has abstractyes

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