MétaCan
Menu
Back to cohort
Record W1990493240 · doi:10.1063/1.3002320

Merged phototransistor pixel with enhanced near infrared response and flicker noise reduction for biomolecular imaging

2008· article· en· W1990493240 on OpenAlex

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

VenueApplied Physics Letters · 2008
Typearticle
Languageen
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFlicker noiseOptoelectronicsMaterials scienceFlickerTransistorImage sensorPhotodiodeBiasingOpticsDark currentPixelSiliconNoise (video)InfraredImage resolutionNoise-equivalent powerPhotoresistorAmorphous siliconDot pitchThin-film transistorPhotodetectorCMOSNoise figureNanotechnologyPhysicsVoltageComputer scienceAmplifierCrystalline silicon

Abstract

fetched live from OpenAlex

A top-illuminated, nonoffset amorphous silicon (a-Si) photo thin-film transistor structure is presented for biomolecular imaging applications. The device yields a high gate-modulated response to near infrared wavelengths, enhanced by trapped assisted absorption in the transistor. In addition, its flicker noise power is reduced by more than a factor of 3 by means of a switched biasing technique. Since the image sensor, readout, and amplification are the same elements, the pixel size can be made relatively small, enabling high resolution imaging capability over large area using standard, low-cost flat-panel technology.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.894

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 head0.005
GPT teacher head0.180
Teacher spread0.175 · 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