MétaCan
Menu
Back to cohort
Record W2783916289 · doi:10.1139/cjps-2017-0309

AAC Bloomfield barley

2018· article· en· W2783916289 on OpenAlexaffvenueabout
Raja Khanal, Thin Meiw Choo, Richard A. Martin, Allen Xue, Sharon Ter Beek, D. MacDonald, P. R. SCOTT

Bibliographic record

VenueCanadian Journal of Plant Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsGovernment of New BrunswickDalhousie UniversityAgriculture and Agri-Food Canada
Fundersnot available
KeywordsHordeum vulgareCultivarTest weightYield (engineering)AgronomySpring (device)AgricultureBiologyPoaceaeEngineeringEcology

Abstract

fetched live from OpenAlex

AAC Bloomfield is a six-row spring feed barley (Hordeum vulgare L.) cultivar with high yield, high test weight, high seed weight, and good lodging resistance. It performed well in the Maritime Six-Row Barley Registration and Recommendation Test (2013–2016) before being registered in 2017. AAC Bloomfield was developed by the Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON. AAC Bloomfield is recommended for barley growing areas in the Maritime provinces.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.015
GPT teacher head0.182
Teacher spread0.168 · 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 designBench or experimental
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
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Plant ScienceSame topicAgricultural Productivity and Crop ImprovementFrench-language works237,207