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Record W4248882436 · doi:10.1109/icwsi.1994.291266

Test vehicle for a wafer-scale thermal pixel scene simulator

2002· article· en· W4248882436 on OpenAlexaff
G.H. Chapman, L. Carr, M.J. Syrzycki, B. Dufort

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPixelLaserChipInterconnectionResistorRedundancy (engineering)WaferThermalComputer scienceElectronic engineeringMaterials scienceElectrical engineeringOptoelectronicsEngineeringComputer visionOpticsVoltagePhysics

Abstract

fetched live from OpenAlex

A chip sized test vehicle has been created to experiment with two wafer scale thermal pixel displays: a Thermal Pixel Dynamic Scene Simulator and a Visual-to-Thermal Converter. The 4.7/spl times/4.7 mm device contains a 2/spl times/4 array of micromachined thermal pixels, optical detectors, A/D converters, digital pixel control circuitry, and laser links for interconnection. Laser produced defect avoidance schemes allowed testing and harvesting for global redundancy of the control circuitry and local transducer substitution. Also the laser linked signal buses flexibility were used to arrange the chip in different thermal pixel display configurations. Two chips were laser interconnected, one as fabricated and another where anisotropic etching had created a suspended plate holding the polysilicon resistor thermal pixels. From the electrical and laser interconnection points of operation there was no difference between the etched and unetched circuits.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 score0.728
Threshold uncertainty score0.540

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 head0.014
GPT teacher head0.185
Teacher spread0.171 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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