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Record W4402262469 · doi:10.62973/12-158

OGC OWS-9 Report on Aviation Performance Study

2013· report· en· W4402262469 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsnot available
FundersDefence Science and Technology GroupNatural Resources CanadaU.S. Army Corps of EngineersDefence Science and Technology LaboratoryNational Geospatial-Intelligence AgencyFederal Aviation AdministrationU.S. Geological SurveyNational Aeronautics and Space Administration
KeywordsAviationAeronauticsTransport engineeringEnvironmental scienceComputer scienceEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

This document is a deliverable of the OGC Web Services (OWS) Initiative -Phase 9 (OWS-9).The report summarizes the work carried out regarding performance and endurance testing of data provision services, namely Web Feature Service and Event Service.More specifically, the report deals with the performance and endurance testing of data provision services commonly used within OWS Aviation testbeds.Test runs have been evaluated on the basis of well-defined, service-specific test models and the results are documented in detail.Furthermore, a description of the service test environment is documented in alignment with the overall OWS-9 service architecture

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.446
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.253
Teacher spread0.233 · 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 designNot applicable
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
Published2013
Admission routes1
Has abstractyes

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