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Record W1965466759 · doi:10.1117/12.385473

6k-pixel 160-MHz CCD linescan sensor

2000· article· de· W1965466759 on OpenAlexaff
O Nixon, C. J. Flood

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Typearticle
Languagede
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsDalsa Corporation
Fundersnot available
KeywordsPixelOptoelectronicsMaterials sciencePhysicsElectrical engineeringOpticsEngineering

Abstract

fetched live from OpenAlex

We have developed a linescan sensor suited for high image quality, high-resolution, high-speed imaging. The 6k-pixel sensor has: four corner outputs each operating at 40 MHz for high scanning speed; 7 micrometers pixels for shorter sensor length and simpler optical design; an exposure control and antiblooming structure that does not produce imaging artifacts; 9.5 (mu) V/e charge conversion efficiency at the output for enhanced sensitivity and dynamic range under light-starved conditions; optimized pinned photodiodes for low image lag (< 350 electrons) and enhanced UV response (> 40% QE at 250 nm); 100% fill factor down to the deep UV; a pixel storage structure that suppresses photosite-to- shift-register optical crosstalk; highly linear output structures and amplifiers (< 1% non-linearity); matched 5- V 2-phase clocks that can be driven with off-the-shelf CMOS drivers; output waveform shape that allows 40-MHz CDS; and photoresponse non-uniformity that is < +/- 2% of the signal.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.606
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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.

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

Citations1
Published2000
Admission routes1
Has abstractyes

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