MétaCan
Menu
Back to cohort
Record W2244938068 · doi:10.1109/newcas.2007.4487981

Novel CMOS analog signal processing technique for solid-state X-ray sensors

2007· article· en· W2244938068 on OpenAlexaff
Rafał Długosz, Kris Iniewski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsCoquitlam CollegeUniversity of Alberta
Fundersnot available
KeywordsCMOSSIGNAL (programming language)DetectorComputer scienceSignal processingNoise (video)Analog signal processingAnalog signalSolid-stateElectronic engineeringSingle-photon emission computed tomographyComputer hardwarePhysicsArtificial intelligenceEngineeringDigital signal processingNuclear medicineTelecommunications

Abstract

fetched live from OpenAlex

A new technique for analog signal processing of X-ray generated signal is proposed. The technique leads to higher maximum photon count rates that will enable SPECT cameras to increase X-ray doses closer to the levels achieved by computer tomography (CT) while retaining excellent low noise properties of the system due to single event nature of the SPECT detection. The proposed technique has been implemented in 0.18 mum CMOS process. The proposed shaper connects seamlessly to our new peak detector structure reported elsewhere.

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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.282
Teacher spread0.266 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicRadiation Detection and Scintillator TechnologiesFrench-language works237,207