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Record W3028220261 · doi:10.14288/1.0355480

Economic impact of the proposed KAON Factory

2017· article· en· W3028220261 on OpenAlexaboutno aff
Eric C. Vance, Douglas R. Halliday, Maureen A. Farrow

Bibliographic record

VenuecIRcle (University of British Columbia) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHungarian Social, Economic and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFactory (object-oriented programming)Economic impact analysisBusinessEconomicsEnvironmental scienceComputer scienceMicroeconomics

Abstract

fetched live from OpenAlex

TRIUMF is proposing to build and operate a KAON Factory at the site of its existing meson facility in Vancouver. The KAON Factory would significantly enhance TRIUMF's research capabilities in the area of subatomic physics and would be used by both Canadian and international scientists. Because the world-wide scientific community is in agreement that only one KAON Factory should be built, the project offers Canada the opportunity to remain at the leading edge of subatomic physics research. The cost of constructing the KAON Factory is estimated at $532 million over five years. The estimated annual operating cost of about $90 million includes the $33 million per year now spent for the meson facility. The purpose of this study, which was jointly funded by the Government of British Columbia and TRIUMF, is to assess the economic impacts of building and operating the KAON Factory. The study has also investigated the economic impacts of the existing meson facility, which serves as a good empirical example of the type of economic activity expected to be generated by the KAON Factory.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0060.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.019
GPT teacher head0.244
Teacher spread0.225 · 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 designSimulation or modeling
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicHungarian Social, Economic and Educational StudiesFrench-language works237,207