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Record W2607223577 · doi:10.1017/inp.2017.6

Native Grass Establishment following Application of Pyridine Herbicides

2017· article· en· W2607223577 on OpenAlexaffabout
Rodney G. Lym, Roger L. Becker, Michael J. Moechnig, Mary B. Halstvedt, Vanelle F. Peterson

Bibliographic record

VenueInvasive Plant Science and Management · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsFields Institute for Research in Mathematical Sciences
Fundersnot available
KeywordsClopyralidPicloramAgronomyTriclopyrWeed controlBiologySeedingEnvironmental science

Abstract

fetched live from OpenAlex

Invasive species management is often more successful if desirable species are seeded after the target weed is controlled. However, control of invasive plants must be maintained following reseeding or the seeded species may fail to establish. A regional study conducted in Minnesota, North Dakota, and South Dakota evaluated the effect of aminopyralid, clopyralid, or picloram applied in the fall prior to fall-dormant seeding or seeding the following spring on cool- and warm-season native grass species establishment. Herbicides were applied at standard rates used to control invasive broadleaf weeds in the upper midwestern tallgrass prairie region of the United States. Cool-season species included Canada wildrye, green needlegrass, and intermediate wheatgrass. Warm-season species included big bluestem, little bluestem, sideoats grama, switchgrass, and Indiangrass. Aminopyralid did not reduce seedling establishment in either fall or spring seeding. Grasses generally were not affected by a pretreatment of the pyridine standards clopyralid or picloram either, with the exception of a slight reduction in fall-seeded establishment of intermediate wheatgrass. Picloram also slightly reduced fall-seeded establishment of Canada wildrye. Application of aminopyralid can safely be used to control susceptible invasive species preceding grass species establishment, with a safety margin similar to or slightly better than that with the pyridine standards clopyralid or picloram.

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)0.001
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 score0.187
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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

Citations6
Published2017
Admission routes2
Has abstractyes

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