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Record W4403467209 · doi:10.56367/oag-044-11640

Innovative grape and wine industry research in a cool climate region

2024· article· en· W4403467209 on OpenAlexaffabout
Jim Willwerth

Bibliographic record

VenueOpen Access Government · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsBrock University
Fundersnot available
KeywordsWineGrape wineWine grapeBusinessFood science

Abstract

fetched live from OpenAlex

Innovative grape and wine industry research in a cool climate region Jim Willwerth, Assistant Professor and Researcher at the Cool Climate Oenology and Viticulture Institute (CCOVI), discusses how the Institute is supporting the transformation of Canada’s agricultural ecosystem, and a self-reliant, sustainable model for the rest of the world. Canada’s grape and wine industry contributes $11bn to the national economy each year and sustains a workforce of about 45,000 full-time equivalent employees.(1) The Canadian grape and wine industry recognized the need for research, education and outreach. All world-class wine- producing regions have research institutes to support their industry, and visionaries of the Canadian grape and wine industry wanted the same. The Cool Climate Oenology and Viticulture Institute (CCOVI) was established in 1996 at Brock University, located in the heart of the Niagara Peninsula in Ontario, Canada. It is a partnership between Brock University and key industry stakeholder groups. CCOVI is an internationally recognized research institute dedicated to the advancement of the Ontario and Canadian grape and wine industry.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.256
GPT teacher head0.464
Teacher spread0.208 · 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 teacher head, not a consensus.

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

Citations0
Published2024
Admission routes2
Has abstractyes

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