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Reproducible Measurements of “Fan Blades in a Pipe” CEM Benchmark

2023· article· en· W4388095032 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Measurements
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsRadar cross-sectionBenchmark (surveying)InletAperture (computer memory)Jet (fluid)Jet engineSynthetic aperture radarAcousticsComputer scienceMechanical engineeringOpticsRadarEngineeringPhysicsAerospace engineeringGeology

Abstract

fetched live from OpenAlex

Cylindrical hubs with fan blades are inserted into a pipe inside a modified camera box—a recently introduced structure intended to host differently-shaped ducts behind an aperture. The resulting structures increase the reproducibility of commonly used simplified jet-engine inlet models and are designed to serve as precisely-defined radar cross section (RCS) benchmarks with reliable reference results. The design, manufacturing, and assembly of the measured structures are detailed; the RCS measurement setup, data collection, and post processing are documented; and the uncertainty in measured RCS data is quantified with the help of simulations. Results show that the fields scattered by the structures, while highly sensitive to geometric and material perturbations, can be both measured and simulated accurately even at frequencies with many propagating modes inside the pipe.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.053
GPT teacher head0.248
Teacher spread0.194 · 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