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Record W3042813313 · doi:10.1109/nssmic.2007.4437316

Comparison of three pulse processing systems for microdosimetry

2007· article· en· W3042813313 on OpenAlexaff
Gloria Spirou, Soo Hyun Byun, William V. Prestwich

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicRadiation Therapy and Dosimetry
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNeutronProtonPhysicsPulse (music)Energy (signal processing)Neutron sourceNuclear physicsComputational physicsOpticsDetector

Abstract

fetched live from OpenAlex

Three different pulse processing systems coupled to a tissue-equivalent proportional counter were tested in performance for various counting rates. The Tandetron accelerator at the McMaster Accelerator Laboratory was used to produce a mixed neutron-gamma field. Depending on the proton energy, different neutron and gamma dose rates were observed. The proton energy ranged from 1.8 to 2.5 MeV with the current set at 100, 200 and 300 μA. The three pulse height analysis systems used were a Conventional Analogues System (CAS), a Real Time System (RTS) and a Digital Pulse Processing System (DPP). The results have shown consistent microdosimetric spectra. The neutron dose rate was consistent at low energies between the three processing systems. At the higher proton energy and current settings the neutron dose rate values obtained by the three systems were still within error but a slight deviation was observed.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.051
GPT teacher head0.373
Teacher spread0.323 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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