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Record W2118802649 · doi:10.4141/cjps2013-008

Residual weeds in winter wheat in Manitoba

2013· article· en· W2118802649 on OpenAlexafffundvenueabout
Andrea Cavalieri, Derek W. Lewis, Robert H. Gulden

Bibliographic record

VenueCanadian Journal of Plant Science · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsUniversity of Manitoba
FundersUniversity of Manitoba
KeywordsAvena fatuaAgronomyWeedFoxtailBromus tectorumBromusBiologySetariaConvolvulusSetaria viridisPoaceaePerennial plant

Abstract

fetched live from OpenAlex

Cavalieri, A., Lewis, D. W. and Gulden, R. H. 2013. Residual weeds in winter wheat in Manitoba. Can. J. Plant Sci. 93: 1195–1200. Winter wheat production has increased from a few thousand to several hundred thousand acres in Manitoba over the past decade. In the summer of 2009, a mid-season weed survey was conducted to establish a benchmark of the residual weed community in winter wheat in three ecoregions in Manitoba. Field histories and herbicide management practices were also recorded for all 84 fields surveyed. Traditionally important weeds in other field crops such as green foxtail [Setaria viridis (L.) Beauv.], wild oats (Avena fatua L.) and wild buckwheat (Polygonum convolvulus L.) were also the most abundant weeds in winter wheat. A species never observed in production fields, waterpod [Ellisia nyctelea (L.) L.] was documented. Neither Japanese brome grass (Bromus japonicum L.) nor downy brome (Bromus tectorum L.), winter annuals often prevalent in winter wheat, were found.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.017
GPT teacher head0.191
Teacher spread0.175 · 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
Published2013
Admission routes4
Has abstractyes

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