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Record W1992969748 · doi:10.5558/tfc85583-4

Effects of vegetation control treatments for release of Engelmann spruce from a mixed-shrub community in southern British Columbia Year 15 results

2009· article· en· W1992969748 on OpenAlexaffvenueabout
Philip G. Comeau, George Harper

Bibliographic record

VenueThe Forestry Chronicle · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicSeedling growth and survival studies
Canadian institutionsGovernment of British ColumbiaUniversity of Alberta
FundersUniversity of Pittsburgh
KeywordsGlyphosateVegetation (pathology)ShrubForestryVegetation coverAgronomyEnvironmental scienceBiologyEcologyGeographyMedicine

Abstract

fetched live from OpenAlex

Fifteen-year results from a study initiated in 1992 to compare the effectiveness of repeated cutting treatments with treatments involving single cutting or a single application of glyphosate herbicide are presented. While treatments resulted in significant improvements in diameter and height of planted spruce at ages 3 to 7, these differences were no longer significant in year 15. All vegetation control treatments significantly increased survival in year 15 but did not significantly affect average spruce size. Despite apparent initial treatment effects on vegetation cover, the treatments applied in this study have had little lasting effect on non-crop vegetation. Key words: vegetation management, herbicides, glyphosate, manual, interior spruce, mixed shrub complex, Interior Cedar Hemlock Zone.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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 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

Citations10
Published2009
Admission routes3
Has abstractyes

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