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Record W2119323612 · doi:10.1109/iedm.2005.1609476

The hole role

2006· article· en· W2119323612 on OpenAlex
Albert Theuwissen, J.T. Bosiers, E. Roks

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 institutionsDalsa Corporation
Fundersnot available
KeywordsDark currentAmplifierCMOSNoise (video)Feature (linguistics)Computer scienceImage sensorOptoelectronicsLayer (electronics)Interface (matter)Current (fluid)Electrical engineeringPhysicsElectronic engineeringImage (mathematics)Materials scienceEngineeringPhotodetectorArtificial intelligenceNanotechnology

Abstract

fetched live from OpenAlex

The importance of holes in solid-state image sensors is described. Today's success of digital imaging is based on the positive effect of an accumulation layer that reduces the interface-related dark current and dark current fixed-pattern noise. This superb imaging feature is applied in CCD as well as in CMOS devices, in consumer as well as in professional equipment. Holes are not only used to improve the dark performance of imagers, other examples are fixing electrostatic potentials, creating gate structures, draining photon-generated charges and constructing output-amplifier stages

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.717
Threshold uncertainty score0.196

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 head0.001
GPT teacher head0.146
Teacher spread0.144 · 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
Published2006
Admission routes1
Has abstractyes

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