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Record W4383889235 · doi:10.5376/mpb.2023.14.0014

Research Progress of NAC Transcription Factor Family in Plant Stress Resistance

2023· article· en· W4383889235 on OpenAlexvenueno aff
Qin Liu, Xiang Wang, Guoyun Dong, Jiqian Wei, Yue Huang, Xiaolan Shang, Jinyao Ying, Huaping Zhou, Xiahong Luo, Wenlue Li, Tingting Liu, Lina Zou, Changli Chen, Shuqing Guo, Xia An

Bibliographic record

VenueMolecular Plant Breeding · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhotosynthetic Processes and Mechanisms
Canadian institutionsnot available
FundersZhejiang Academy of Agricultural SciencesNational Natural Science Foundation of China
KeywordsTranscription factorBiologyAbiotic stressTranscription (linguistics)GeneticsAbiotic componentBiotechnologyPlant growthCell biologyComputational biologyGeneBotanyEcology

Abstract

fetched live from OpenAlex

NAC (NAM, ATAF1/2 and CUC2) transcription factor family is one of the largest transcription factor families in plant genome. NAC transcription factors have a variety of biological functions and play an important role in plant growth and development, plant hormone signal transduction and resistance to stress. This paper mainly reviews the role of NAC transcription factors in plant growth and development and their resistance to abiotic stresses such as drought, high salt and heavy metals, and provides a reference for future research on the 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 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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.044
GPT teacher head0.296
Teacher spread0.252 · 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 designBench or experimental
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

Citations1
Published2023
Admission routes1
Has abstractyes

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