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Record W2063332651 · doi:10.1117/12.731473

<title>SHIELDS: A battlespace Fraunhofer line discriminator for real-time aerosol cloud analysis</title>

2007· article· en· W2063332651 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

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Typearticle
Languageen
FieldEngineering
TopicOptical Polarization and Ellipsometry
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsShieldsSpectrometerRemote sensingOpticsAerosolSpectroscopyLine (geometry)InterferometryComputer scienceEnvironmental sciencePhysicsEngineeringElectrical engineeringElectromagnetic shieldingMeteorologyGeologyAstronomy

Abstract

fetched live from OpenAlex

Fraunhofer Line Discrimination (FLD) is a passive optical spectroscopy technique with potential for battlefield remote sensing of aerosol targets, as well as other military and academic applications. The Spatial Heterodyne Interferometer for Emergent Line Discrimination Spectroscopy (SHIELDS) will provide real-time remote sensing using FLD. The unit will be contained in a man-portable box to provide heads-up detection of dangerous chemicals in target clouds. The spectrometer employed will be the monolithic Spatial Heterodyne Spectrometer (SHS). One SHIELDS unit will feature a monolithic SHS to look at the 589-nm Solar Fraunhofer doublet. A second monolith will be built, using novel designs, to look at several different Fraunhofer lines of interest, all in the visible (H-b, Mg, H-a). The finished monoliths will be tested on laboratory targets, and the final complete SHIELDS unit will be further tested in the field.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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