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Record W1759115555 · doi:10.1109/mwscas.1993.343265

A novel photo BJT array for intelligent imaging

2002· article· en· W1759115555 on OpenAlexaff
Guangxia Liang, William C. Miller

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBipolar junction transistorFixed-pattern noiseCorrelated double samplingReset (finance)Noise (video)ChipCommon emitterImage sensorCapacitorComputer scienceCMOSPixelReading (process)LinearityBiasingElectronic engineeringTransistorFlicker noiseElectrical engineeringVoltageEngineeringArtificial intelligenceNoise figureImage (mathematics)Telecommunications

Abstract

fetched live from OpenAlex

A novel image system chip containing a Field-Effect Modified (FEM) photo BJT array with charge amplification, self-noise and C/sub bc/ reduction capabilities was designed and fabricated in a standard 1.2 /spl mu/m CMOS process. The chip fulfils the requirements of the random access and repetitive reading operation for the intelligent image scanning. The dynamic range of linearity of the photo BJT is dramatically improved by using capacitor-loaded emitter follower configuration and sampling operation in a deep forward biasing condition. The fixed pattern noise (FPN) and the random noise are reduced by the introduction of both the base reset and the emitter reset.< <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: none
Teacher disagreement score0.960
Threshold uncertainty score0.645

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)0.0010.000

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 head0.214
Teacher spread0.194 · 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

Citations6
Published2002
Admission routes1
Has abstractyes

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