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Record W2322110924 · doi:10.1115/imece2009-12930

Modeling of a Multifunctional Pressure-Temperature Sensor

2009· article· en· W2322110924 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
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSurface micromachiningAutomotive industryFabricationCapacitancePressure sensorTemperature measurementCapacitive sensingCMOSElectronic engineeringMicroelectromechanical systemsMaterials scienceAutomotive electronicsUnderpinningMechanical engineeringEngineeringElectrical engineeringNanotechnologyAerospace engineering

Abstract

fetched live from OpenAlex

Development of new sensors with precise and innovative measurement mechanisms is a key in underpinning the competitiveness of industries like automotive, aviation, and power generation. Due to progresses made in micromachining technologies, fabrication of such sensors for multifunctional applications and their integration with readout circuits is easily achievable. In this paper a new multifunctional sensor for the simultaneous measurement of pressure and temperature is proposed and modeled. It uses membranes and beams as active bodies and capacitance measurement as readout system. The sensor can be fabricated with available CMOS-compatible foundry processes. The results of the finite element simulations are presented for pressures up to 1 MPa and temperature changes up to 250 °C.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score0.236

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 head0.024
GPT teacher head0.234
Teacher spread0.210 · 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