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Record W4400595082 · doi:10.5376/mpb.2024.15.0011

Research Progress of NAC Transcription Factor Family in Plant Stress Resistance

2024· article· en· W4400595082 on OpenAlexvenueno aff
Ziyi Zhu, Xia An, Xiahong Luo, Changli Chen, Tingting Liu, Lina Zou, Guanlin Zhu

Bibliographic record

VenueMolecular Plant Breeding · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsnot available
FundersModern Agricultural Technology Industry System of Shandong province
KeywordsBiologyGeneticsTranscription factorBiotechnologyComputational biologyGene

Abstract

fetched live from OpenAlex

NAC (NAM, ATAF1/2, and CUC2) transcription factors are a class of plant specific transcription factor genes with numerous family members, commonly found in higher plants, and also found in moss plants. The N-terminus of these genes has a highly conserved NAC domain. It plays a crucial role in the growth and development of plants, as well as in their response to biotic stress (such as insects and plant pathogens) and abiotic stress (such as drought, salinity, temperature, and heavy metals). This article introduces the basic characteristics of the NAC transcription factor family and briefly elaborates on its research in plant stress resistance in recent years, providing some reference for future research on the stress resistance of NAC transcription factors.

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)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.037
GPT teacher head0.304
Teacher spread0.268 · 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
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

Citations2
Published2024
Admission routes1
Has abstractyes

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