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Record W3215377535 · doi:10.5376/pgt.2020.11.0008

Advances and the Application Value of Plant Copper Transporters

2020· article· en· W3215377535 on OpenAlexvenueno aff
Yanyu Sun, Jinyu Zhang, Donglin Guo

Bibliographic record

VenuePlant Gene and Trait · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Micronutrient Interactions and Effects
Canadian institutionsnot available
FundersHarbin Science and Technology Bureau
KeywordsCompartmentalization (fire protection)CopperAgrochemicalTransporterAgricultureGenetically modified cropsBiologyCropPhloemBiotechnologyTransgeneChemistryAgronomyBiochemistryGeneBotanyEcologyEnzyme

Abstract

fetched live from OpenAlex

Copper pollution in soil leads to poor crop quality and low yield, which is a major problem in agricultural production. Plant copper transporters have functions of copper absorption, chelation, compartmentation and metabolic utilization, and participate in the regulation of copper homeostasis in plant. This review presumptively summarizes the gene expression characteristics, subcellular localization and the effecting of knockout or overexpression genes of plant copper transporters; emphatically illuminates the roles of plant copper transporters in copper uptake and root retention, long-distance transport, intracellular compartmentalization and accumulation in reproductive organs; and put forwards the research direction and prospect. The aim is to provide scientific theoretical basis for the screening and cultivation of copper-tolerant crops in order to prevent the potential threat of food safety in agricultural land with slight copper contamination, and help to establish efficient crop breeding mechanism and reasonable planting measures.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.181
Teacher spread0.172 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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