MétaCan
Menu
Back to cohort
Record W4200345347 · doi:10.1139/cjb-2021-0033

Plant exposure to glyphosate-based herbicides and how this might alter plant physiological and structural processes

2021· article· en· W4200345347 on OpenAlexvenueno aff
Larisse de Freitas-Silva, Hugo Humberto de Araújo, Camila Santos Meireles, Luzimar Campos da Silva

Bibliographic record

VenueBotany · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyShikimate pathwayGlyphosateWeedPesticideHerbicide resistanceCrop productivityBotanyAgricultureBiotechnologyEnzymeATP synthaseAgronomyBiochemistryEcology

Abstract

fetched live from OpenAlex

Chemical weed control is essential to ensure high levels of productivity in agricultural areas, and glyphosate-based herbicides (GBHs) are the most widely used herbicides on a global scale. Glyphosate-based herbicides inhibit the 5-enolpyruvyl-shikimate-3-phosphate synthase (EPSPS) enzyme, which impairs the shikimate pathway and often leads to plant death. However, indirect effects of GBHs on plant physiology can also lead to plant death. The objectives of this review are to discuss the biochemical, physiological, and structural changes that GBH application produces in plant species, in addition to inhibiting EPSPS (EC 2.5.1.19), and to reveal how these changes contribute to plant death. We conclude that GBHs promote plant death not only through EPSPS inhibition but also through biochemical, physiological, and structural changes. Some changes are recurrent and can be used as biomarkers of GBH sensitivity, which can contribute to future works that monitor the presence of these herbicides in plant communities near agricultural areas.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
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
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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 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

Citations18
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBotanySame topicPesticide and Herbicide Environmental StudiesFrench-language works237,207