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Record W2154465989 · doi:10.1109/tns.2002.805368

Gamma enhancement of proton-induced SEE cross section in a CMOS SRAM

2002· article· en· W2154465989 on OpenAlexafffund
Lorne Erhardt, D.S. Haslip, T. Cousins, R. Buhr, D. Estan

Bibliographic record

VenueIEEE Transactions on Nuclear Science · 2002
Typearticle
Languageen
FieldEngineering
TopicRadiation Effects in Electronics
Canadian institutionsDefence Research and Development Canada
FundersTRIUMF
KeywordsProtonStatic random-access memoryCMOSIrradiationPhysicsCross section (physics)Random access memoryNuclear physicsMaterials scienceRadiochemistryElectrical engineeringOptoelectronicsEngineeringChemistryComputer scienceComputer hardware

Abstract

fetched live from OpenAlex

CMOS SRAM parts (NEC 431000ACZ-70L) were tested for possible combined effects of gamma and proton irradiation. The parts were irradiated with a /sup 60/Co source to a variety of doses and at different dose rates. These parts were subsequently subjected to identical tests for proton-induced single-event effects (SEES). The cross section for proton-induced SEES increased with the prior /sup 60/Co dose and also showed an enhancement at lower dose rates.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2002
Admission routes2
Has abstractyes

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