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Record W2905279806 · doi:10.1109/antem.2018.8572850

An Automated System for Measurement of Sensitive Microwave Radiometers

2018· article· en· W2905279806 on OpenAlexaff
Gary Hovey, Rob Messing, A. Willis, B. Veidt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsHerzberg Institute of Astrophysics
Fundersnot available
KeywordsRadiometerRepeatabilityMicrowaveSensitivity (control systems)AutomationRemote sensingMicrowave radiometerComputer scienceInstrumentation (computer programming)Temperature measurementSystem of measurementSkyPort (circuit theory)Environmental scienceElectronic engineeringEngineeringMeteorologyPhysicsMechanical engineeringTelecommunicationsGeology

Abstract

fetched live from OpenAlex

An automated system for measuring the sensitivity of microwave radiometers with a free-space input port is described. The Hot/Cold Test Facility (HCTF) exposes a test radiometer to two free-space loads: a hot load formed by ambient-temperature microwave absorber, and to cold sky to act as a cold load. Automation has been added to this facility to improve repeatability, enable long-term studies, and to minimize operator error. We describe the HCTF, discuss measurement errors, and show typical results.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.316

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)0.0000.000

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 head0.019
GPT teacher head0.257
Teacher spread0.238 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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