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Record W7095695715

Testing of the Siemens EPD MK2

2000· article· en· W7095695715 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRadiation Effects and Dosimetry
Canadian institutionsnot available
Fundersnot available
KeywordsSiemensDosimeterProcurementElectronic equipmentElectronic systems
DOInot available

Abstract

fetched live from OpenAlex

Defence Services Procurement Project 00002199 tasked DREO to test the new Siemens EPD Mk2 (an electronic personal dosimeter) at DREO's various irradiation facilities. The dependence of the response on dose rate, energy, and temperature were all studied. This dosimeter was found to be comparable to the DMC 2000S electronic dosimeter produced by Merlin-Guerin Products (MGP), although each has some particular advantages over the other. This dosimeter is an appropriate product for use as an electronic dosimeter by the Canadian Forces in a wide variety of radiation fields. RESUME Le Projet de Procurement de Services pour la Defense 00002199, a fait la demande ä CRDO d'evaluer les dosimetres personnels electroniques Siemens EPD Mk2. La reaction des EPD en ce qui concerne la dependance sur le debit de dose, l'energie de rayonnement et la temperature a ete evaluee. La performance de ces dosimetres est comparable aux dosimetres electroniques DMC 2000S, fabrique par Merlin-Guerin Products (MGP). Cependant, chacun possede quelques avantages particuliers par rapport ä l'autre. Le dosimetre Siemens EPD Mk2 est un produit bien adapte pour l'usage comme dosimetre electronique par les forces canadiennes dans une grande variete de champs de rayonnement. in EXECUTIVE SUMMARY Background: DREO continues to provide scientific and technical services to Defence

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)0.005
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 score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0150.004

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 head0.014
GPT teacher head0.192
Teacher spread0.178 · 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
Published2000
Admission routes1
Has abstractyes

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