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Record W3092029836 · doi:10.5376/rgg.2020.11.0002

Research Progress on Cloning and Mechanism of Rice Lesion Mimic Genes

2020· article· en· W3092029836 on OpenAlexvenueno aff
Jingya Qian, Fen Liu, Cheng Qu, Yue Wang

Bibliographic record

VenueRice Genomics and Genetics · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsMutantGeneBiologyCloning (programming)GeneticsMechanism (biology)Positional cloningPlant disease resistanceLesionMutationPhenotypeCell biologyMedicinePathology

Abstract

fetched live from OpenAlex

The formation of rice lesion mimic was affected by gene mutation, metabolic disorder, accumulation of active oxygen, hormone imbalance, blocked ion channels, out of control programmed cell death process, abiotic stress and so on. The process of disease was usually accompanied by the improvement of plant resistance, and the expression of defense system related genes increases. At present, the study of disease-like mutants mainly focused on the mapping, cloning and functional analysis of mutant genes. The mechanism of rice lesion mimic mutants was reviewed, especially the location, coding and function of the cloned disease like genes In this paper. The mechanism of programmed cell death in rice disease like cells was summarized, and the prospect of disease like mutants and rice breeding practice was put forward. It was of great significance to further analyze the regulatory mechanism of defense response and breeding application of rice lesion mimic mutant gene.

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

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.070
GPT teacher head0.283
Teacher spread0.213 · 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
Published2020
Admission routes1
Has abstractyes

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