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Record W6921575100 · doi:10.71477/qfsq-4698

Potato Accelerated Release Program

2025· other· en· W6921575100 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Treaty on Plant Genetic Resources for Food and Agriculture · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCommercializationSelection (genetic algorithm)AgricultureLicenseQuality (philosophy)Process (computing)

Abstract

fetched live from OpenAlex

Agriculture and Agri-Food Canada’s (AAFC) Potato Accelerated Release Program began in 1998. It is a two-phase process to fast track the release of promising potato selections developed at the Fredericton and Lethbridge Research and Development Centres of AAFC to the producers. In phase one, 10-15 new selections are offered to potato producers each February for two years of non-exclusive field testing. These early favorites are typically at year six of a testing and selection program that traditionally took about twelve years. For a fee of $100 per selection, plus applicable taxes, growers receive a limited quantity of breeder's selection seed and non-exclusive rights to conduct their own field performance and quality evaluation trials for two years. In phase two, following the non-exclusive testing, AAFC invites potato producers to submit cash bids to procure a further three-year period of exclusive testing. At the end of this testing, or sooner at the request of the producer and farmers, an eight-year, renewable license to commercialize a selection may be negotiated. In 2018, in consultation with growers’ representatives, AAFC began the process of modernizing its potato breeding and commercialization programs. This process is currently still in progress.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.316
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3160.161

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 head0.014
GPT teacher head0.252
Teacher spread0.239 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

Explore more

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