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Record W2611698832 · doi:10.47339/ephj.2015.134

Testing for presence of radioactivity in food products imported from Japan to Canada

2015· article· en· W2611698832 on OpenAlexfundvenueaboutno aff
Kazuhiro Takeuchi, Environmental Health BCIT School of Health Sciences, Bobby Sidhu, Abderrachid Zitouni

Bibliographic record

VenueBCIT Environmental Public Health Journal · 2015
Typearticle
Languageen
FieldHealth Professions
TopicRadioactivity and Radon Measurements
Canadian institutionsnot available
FundersBritish Columbia Centre for Disease ControlWorld Health Organization
KeywordsFood irradiationFood productsAgricultural economicsAgricultural scienceEnvironmental scienceBusinessGeographyEnvironmental protectionFood scienceChemistryPhysicsNuclear physicsIrradiationEconomics

Abstract

fetched live from OpenAlex

Following the Fukushima Nuclear accident of March 11th of 2011, many people, particularly among the general public are still skeptical about the safety of foods imported from Japan. Furthermore, currently little radiation monitoring of food happens in Canada. The present study aims to test for the presence or absence of gamma radioactivity in various food products imported to Canada from Japan. Thirty commonly imported Japanese and thirty-two additional Canadian food products were purchased from supermarkets and convenience stores in Vancouver, British Columbia. All samples were tested for gamma radiation from cesium-134 and cesium-137 using a portable gamma spectrometer, the EXPLORANIUM GR-135 Plus Identifier. All food samples tested in this experiment were found free of any detectable gamma radioactivity.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.749

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.242
GPT teacher head0.367
Teacher spread0.125 · 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 designObservational
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
Published2015
Admission routes3
Has abstractyes

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