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Record W3091133857 · doi:10.1139/cjps-2020-0190

AAC Asher field pea

2020· article· en· W3091133857 on OpenAlexaffvenueabout
Deng‐Jin Bing, Don Beauchesne, Debra L. McLaren, Richard D. Cuthbert, Hamid Naeem

Bibliographic record

VenueCanadian Journal of Plant Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsMillar College of the BibleGovernment of CanadaAgriculture and Agri-Food Canada
Fundersnot available
KeywordsPowdery mildewField peaBiologySativumFusarium oxysporumFusarium wiltMycosphaerellaHorticultureAgronomy

Abstract

fetched live from OpenAlex

AAC Asher is a semi-leafless, medium to large seeded, yellow cotyledon field pea (Pisum sativum L.) variety developed at Agriculture and Agri-Food Canada, Lacombe Research and Development Centre, Lacombe, AB, Canada. It has high yielding potential, early to medium maturity, and good lodging resistance. AAC Asher has maturity of 94 d and a 1000-seed weight of 257 g. AAC Asher is resistant to powdery mildew (caused by Erysiphe pisi DC.), moderately tolerant to Mycosphaerella blight (caused by Mycosphaerella pinodes) and Fusarium wilt (caused by Fusarium oxysporum Schltdl.). AAC Asher is adapted to all field growing regions in western Canada.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.205
Teacher spread0.170 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2020
Admission routes3
Has abstractyes

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