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Record W2037846437 · doi:10.3769/radioisotopes.58.25

Quantity and Economic Scale of Food Irradiation in the World

2009· article· en· W2037846437 on OpenAlexfundno aff
Tamikazu Kume, Masakazu Furuta, Setsuko Todoriki, Naoki Uenoyama, Yasuhiko Kobayashi

Bibliographic record

VenueRADIOISOTOPES · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRadiation Effects and Dosimetry
Canadian institutionsnot available
FundersHealth CanadaChinese Academy of Agricultural SciencesJapan Atomic Energy AgencyInternational Atomic Energy AgencyCabinet Office, Government of Japan
KeywordsAgricultural economicsFood irradiationEnvironmental scienceIrradiationEconomics

Abstract

fetched live from OpenAlex

The status of food irradiation in the world in 2005 was studied using a questionnaire survey and direct interview. The total quantity and economic scale of irradiated foods in the world were estimated as 405000 tons and 1.61 trillion Japanese Yen(JPY), respectively. Processed foods totaled 183000 tons(45%) in Asia and Oceania, 116000 tons(29%) in the American region, 90000 tons(22%) in Africa and Ukraine, and 15000 tons(4%) in the EU. The economic scale, estimated using the price at retail stores converted to JPY using an IMF conversion table, was 1.07 trillion JPY(67%) in the American region, 309 billion JPY(19%) in Asia and Oceania, 181 billion JPY(11%) in Africa and Ukraine, and 50 billion JPY(3%) in the EU.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.009
GPT teacher head0.217
Teacher spread0.207 · 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

Citations27
Published2009
Admission routes1
Has abstractyes

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Same venueRADIOISOTOPESSame topicRadiation Effects and DosimetryFrench-language works237,207