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Record W6958735535 · doi:10.60928/66e0-680q

Twinkling Behavior in Ultra-High-Resolution CMOS Global Shutter Pixels

2024· article· en· W6958735535 on OpenAlexaff

Bibliographic record

VenueIISS online library · 2024
Typearticle
Languageen
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsDalsa Corporation
Fundersnot available
KeywordsCMOSPixelShallow trench isolationShutterSIGNAL (programming language)Image sensorEnergy (signal processing)Rolling shutter

Abstract

fetched live from OpenAlex

We present a twinkling behavior observed in ultra-high-resolution CMOS global shutter (GS) pixels. According to our measurements, the magnitude of twinkling pixels increases proportionally with increased idle time between charge transfer and readout. This suggests that the dark signal causing twinkling is originated from sense node (SN). Further study on activation energy for twinkling pixels shows that the non-stationary dark signal is due to meta-stable oxide Shockley-Read-Hall (SRH) Recombination/Generation (R-G) centers, likely located at the shallow trench isolation (STI) interface. Since twinkling is directly influenced by readout idle time, this artifact becomes prominent in particular with ultra-high-resolution CMOS image sensors operated in GS mode.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.812

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 communication0.0000.001
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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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