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Record W2983883632 · doi:10.22215/etd/2018-13401

Demonstration of a new gamma spectrometer designed for radiometric surveying with an unmanned aircraft system

2018· dissertation· en· W2983883632 on OpenAlexaff
Carolyn Chen

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsSpectrometerAirframeRemote sensingDetectorLift (data mining)OpticsRadiationLinearityEnvironmental sciencePoint sourceAerospace engineeringComputer sciencePhysicsEngineeringGeologyElectronic engineering

Abstract

fetched live from OpenAlex

The performance of a radiometric unmanned aircraft system (UAS) composed of a directional gamma spectrometer, the Advanced Radiation Detector for Unmanned Aircraft System Operations (ARDUO), and a medium-lift helicopter airframe was demonstrated. The ARDUO's properties of the full-width half maximum energy resolution, linearity, gain stability, intrinsic photopeak efficiency, sheet source sensitivity and directional response were characterized in laboratory experiments. Smallscale trials were conducted over a single point source and two point sources of 137 Cs at a 27 m separation. The single point source strength was measured at 175 MBq 39 MBq, which is within error of the true source strength of 161 MBq.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.020
GPT teacher head0.267
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations6
Published2018
Admission routes1
Has abstractyes

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