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Record W4390054172 · doi:10.47743/jpd.2023.30.1.928

ELECTRICAL SIGNALING AND ITS PHYSIOLOGICAL AND BIOCHEMICAL IMPACTS DURING HERBIVORE ATTACKS: A BRIEF REVIEW ON ARABIDOPSIS THALIANA

2023· review· en· W4390054172 on OpenAlexaff
Aira Monique Nasol FELIX, Tim Xing

Bibliographic record

VenueJournal of Plant Development · 2023
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and Biological Electrophysiology Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsArabidopsisArabidopsis thalianaHerbivoreBiologyInsectNeuroscienceEcologyGeneGenetics

Abstract

fetched live from OpenAlex

Electrical signals in plants were first documented in the mid-19th century. In response to insect attacks, plants generate electrical signals that spread throughout the plant body and trigger physiological, biochemical and molecular responses. Arabidopsis has been used as a model plant in the past several decades. In this mini review, we will address the current understanding of electrical signaling in Arabidopsis and its physiological and biochemical impacts during herbivore attacks.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.826
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.080
GPT teacher head0.288
Teacher spread0.207 · 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 designOther design
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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