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Record W2015038632 · doi:10.4161/psb.5.4.10847

ATAF NAC transcription factors: Regulators of plant stress signaling

2010· letter· en· W2015038632 on OpenAlexaff
Jed A. Christianson, Elizabeth S. Dennis, Danny Llewellyn, Iain W. Wilson

Bibliographic record

VenuePlant Signaling & Behavior · 2010
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyTranscription factorCell biologyTranscription (linguistics)Signal transductionGeneticsGene

Abstract

fetched live from OpenAlex

NAC proteins are one of the largest classes of plant-specific transcriptional regulators. Since the first NAC gene NO APICAL MERSITEM (NAM) was identified from petunia in 1996 1, NAC genes have been implicated in important plant developmental processes like boundary cell formation in shoot apical mersitems 1, 2, secondary cell wall formation, 3 and lateral root development. 4 However, recent work indicates that NAC genes are also important regulators in stress responses. Nowhere is this more evident than the ATAF subgroup of NAC domain transcription factors. This mini-review aims at highlighting recent evidence of the importance of the ATAF-like NAC group in a diverse array of stress related signaling processes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0050.011

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 head0.018
GPT teacher head0.238
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations127
Published2010
Admission routes1
Has abstractyes

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