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Record W2604645430 · doi:10.1139/cjps10062

Evaluation of mungbean accessions for the southern Canadian prairies

2011· article· en· W2604645430 on OpenAlexaffabout
Mark A. Olson, Manjula Bandara, Deng Bing, A. J. Kruger, Boris Henriquez, E. Bremer

Bibliographic record

VenueBioOne Complete (BioOne) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsAgriculture and Agri-Food CanadaAgriculture Food and Rural Development
Fundersnot available
KeywordsVignaRadiataCultivarCropAgronomyYield (engineering)BiologyCrop managementCrop yieldHorticultureGeography

Abstract

fetched live from OpenAlex

Olson, M., Bandara, M., Bing, D. J., Kruger, A., Henriquez, B. and Bremer, E. 2011. Evaluation of mungbean accessions for the southern Canadian prairies. Can. J. Plant Sci. 91: 137-141. Mungbean [Vigna radiata (L.) Wilczek] accessions were screened under field conditions to determine their suitability for commercial production in regions similar to those used for dry bean production on the Canadian prairies. Field studies were conducted in 2007 and 2008 at two locations in southern Alberta and in 2007 at one location in southern Manitoba. Two mungbean lines produced a minimum of 400 kg seed ha-1 at 4 of 5 site-years, even with as little as 2240 crop heat units (CHU). The best-yielding accession produced an average seed yield of 750 kg ha-1. Although seed yields were low relative to dry bean (1920 to 3100 kg ha-1), substantial increases could likely be obtained through improvements in cultural practice and cultivar development.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.422

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.510
GPT teacher head0.269
Teacher spread0.241 · 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 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

Citations1
Published2011
Admission routes2
Has abstractyes

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