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Record W2070819063 · doi:10.1109/newcas.2009.5290457

Dark current compensation in CMOS image sensors using a differential pixel architecture

2009· article· en· W2070819063 on OpenAlex
Philippe Beaudoin, Yves Audet, Víctor H. Ponce-Ponce

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
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsIntegratorPixelCompensation (psychology)LinearityCMOSDark currentDynamic rangeComputer scienceDifferential amplifierElectronic engineeringDifferential (mechanical device)AmplifierCurrent (fluid)Image sensorElectrical engineeringEngineeringArtificial intelligenceDetectorTelecommunicationsBandwidth (computing)

Abstract

fetched live from OpenAlex

This paper presents a new CMOS active pixel sensor (APS) architecture aimed at compensating the effects of dark current. The suggested circuit consists of an innovative multi-branch differential amplifier configured as a multi-input negative feedback integrator. In addition to its inherent dark current compensation mechanism, the proposed circuit offers a wide dynamic range and an excellent linearity.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.637

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 head0.011
GPT teacher head0.241
Teacher spread0.231 · 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

Quick stats

Citations8
Published2009
Admission routes1
Has abstractyes

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