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Record W6903240747 · doi:10.1139/cjps2012-328

The Biology of Canadian Weeds. 152. Artemisia biennis Willd.

2013· article· en· W6903240747 on OpenAlexaboutno aff

Bibliographic record

VenueBioOne Complete (BioOne) · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatWeedForageArtemisiaSeedlingRange (aeronautics)Introduced speciesNative plant

Abstract

fetched live from OpenAlex

Kegode, G. O. and Darbyshire, S. J. 2013. The Biology of Canadian Weeds. 152. Artemisia biennis Willd. Can. J. Plant Sci. 93: 643-658. Artemisia biennis Willd. (biennial wormwood, armoise bisannuelle) is an annual or biennial species native to western North America. Closely related species occur in Eurasia and South America which are sometimes considered conspecific. Spreading elsewhere in North America occurred along transportation corridors soon after European settlement and it has since been introduced to other parts of the world. As an economically important weed its impact appears to be increasing, possibly due in part to reduced tillage practices. The most significantly affected regions are the Prairie Provinces of Canada and the northern Great Plains in the United States. Many cereal, oilseed, pulse, vegetable and forage crops are affected where it can reduce yields at relatively low densities. A wide range of soil and moisture conditions are tolerated and it can form dense populations in disturbed habitats where its competitive ability is enhanced by prolific seed production, indeterminate seedling emergence and allelopathic effects. Although tolerant of a number of herbicides in different classes, good control can be achieved through careful timing and split application strategies.

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 categoriesInsufficient payload (model declined to judge)
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 score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.203
GPT teacher head0.216
Teacher spread0.013 · 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.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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