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Record W2907405544 · doi:10.1201/9781351069496-15

The Effect of Vegetable Oil Carriers and Adjuvants on Herbicide Efficacy

2018· book-chapter· en· W2907405544 on OpenAlexaff
K. G. Hatchard, Robert Ashford, W. B. Reed

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsVegetable oilEnvironmental scienceBiotechnologyBusinessChemistryBiologyFood science

Abstract

fetched live from OpenAlex

Canola oil adjuvants and carriers reduced or had no effect on the phytotoxicity of 2, 4-d and glyphosate. Similar results were observed when soybean oil was used instead of canola oil. However, canola oil carriers and adjuvants increased sethoxydim phytotoxicity under field conditions in 1985, but not in 1984. Under controlled environmental conditions canola oil enhanced sethoxydim activity when used as a carrier, although not as an adjuvant. Soybean oil was as effective as canola oil when used as a carrier in the laboratory, but soybean oil carriers were the most effective in the field in 1985, even though both oils did enhance phytotoxicity. When canola and soybean oils were used as adjuvants in the field, the relationship between adjuvant concentration in the spray mix and the phytotoxicity of sethoxydim varied with the application method, as did the relative effectiveness of the two oils.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.959
Threshold uncertainty score0.999

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)0.0010.000

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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