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Record W66270205 · doi:10.1093/njaf/17.4.141

Seasonal Susceptibility of Boreal Plants to Glyphosate I. Blue-Joint Grass and Black Spruce

2000· article· en· W66270205 on OpenAlexaff
Frederick W. Bell, Douglas G. Pitt, Azim U. Mallik, Christine Hollstedt

Bibliographic record

VenueNorthern Journal of Applied Forestry · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsLakehead UniversityNatural Resources CanadaCanadian Forest ServiceOntario Forest Research Institute
Fundersnot available
KeywordsGlyphosateBlack spruceSprayerAgronomyBiologyTaigaHorticultureTriclopyrBotanyAnimal scienceEcology

Abstract

fetched live from OpenAlex

Abstract Seasonal susceptibility and posttreatment recovery of blue-joint grass (Calamagrostis canadensis [Michx.] Beauv.) to glyphosate (N-[phosphonomethyl] glycine) were examined in a young black spruce (Picea mariana [Mill.] B.S.P.) plantation. In 1990, two rates of the herbicide (1.1 and 1.7 kg ae/ha) were applied on July 19, August 1, 15, and 29, and September 10 and 29 using a backpack sprayer. Although differences between rates were marginal, time of application strongly influenced post-treatment cover of blue-joint grass. Compared to the untreated control, glyphosate applied between August 1 and September 10 significantly reduced cover of blue-joint grass for 3 yr after treatment and increased growth of black spruce for at least 5 yr. The optimum period of glyphosate efficacy corresponded to the end of blue-joint grass's full flowering and beginning of aboveground senescence. North. J. Appl. For. 17(4):141–148.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 science0.0000.000
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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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

Citations7
Published2000
Admission routes1
Has abstractyes

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Same venueNorthern Journal of Applied ForestrySame topicPesticide and Herbicide Environmental StudiesFrench-language works237,207