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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.380
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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