MétaCan
Menu
Back to cohort
Record W2144736372 · doi:10.1109/sensor.1997.613668

A micromachined angled Hall magnetic field sensor using novel in-cavity patterning

2002· article· en· W2144736372 on OpenAlexafffund
Makarand Paranjape, Flavio Giacomozzi, L. M. Landsberger, Mojtaba Kahrizi, B. Margesin, B. Nikpour, M. Zen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEtching (microfabrication)Materials scienceHall effect sensorSiliconFabricationWaferHall effectOptoelectronicsSurface micromachiningMagnetic fieldShadow maskMicroelectromechanical systemsBulk micromachiningOpticsNanotechnologyElectrical engineeringMagnetEngineeringPhysics

Abstract

fetched live from OpenAlex

This paper will present a novel technique used in the fabrication of a three-dimensional magnetic field vector sensor based on an angled Hall plate structure. This new sensor design relies on simultaneously detecting all magnetic field vector components using Hall plates that are imbedded into the silicon <111> sidewalls of a bulk micromachined cavity. A shadow mask technique was developed for the in-cavity patterning necessary for doping and metalization. This mask is made from standard thin film layers deposited onto a previously ion-etched silicon surface. Therefore, the patterned layers also served as the etch mask to expose the silicon for anisotropic etching. This paper will concentrate on how an angled Hall device (AHD) can be fabricated using this technique.

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 categoriesInsufficient payload (model declined to judge)
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 score0.919
Threshold uncertainty score0.997

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)0.0040.000

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 head0.210
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.

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

Citations4
Published2002
Admission routes2
Has abstractyes

Explore more

Same topicMagnetic Field Sensors TechniquesFrench-language works237,207