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Record W1981415354 · doi:10.1142/s0219878908001594

HIGH SENSITIVITY AND HIGH DYNAMIC RANGE OPTICAL MICRO-RADIATOR VACUUM SENSOR FABRICTED WITH CMOS TECHNOLOGY

2008· article· en· W1981415354 on OpenAlexafffund
Yuan Ma, R. P. W. Lawson, A.M. Robinson

Bibliographic record

VenueInternational Journal of Information Acquisition · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsParks CanadaDalhousie University
FundersCMC Microsystems
KeywordsRadiator (engine cooling)PhotodetectorCMOSCalibrationSensitivity (control systems)Dynamic rangeMaterials scienceOptoelectronicsOptical powerPressure sensorPower (physics)Computer scienceOpticsElectronic engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

A Complementary Metal Oxide Silicon (CMOS) optical micro-radiator vacuum sensor has been designed, tested and calibrated. The package is comprised of a micromachined radiator and a photodetector. The sensitivity improvement of the system over the conventional Pirani gauge is up to nine magnitudes depending on the operating power of the micro-radiator. To increase sensor's dynamic range, an automated power-switching system has been demonstrated for pressure sensing operated with constant photodetector output. Calibration of the system has been performed by comparison with secondary standards. Experimental results showed that the sensor's measurement range from 10 -3 Pa to 10 5 Pa has been achieved as its relative error is less than 8%.

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 score0.304
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.003
GPT teacher head0.193
Teacher spread0.190 · 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

Citations0
Published2008
Admission routes2
Has abstractyes

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