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Record W3206996361 · doi:10.1093/plcell/koab247

A glossary of plant cell structures: Current insights and future questions

2021· review· en· W3206996361 on OpenAlexaff
Byung‐Ho Kang, Charles T. Anderson, Shin‐ichi Arimura, Emmanuelle Bayer, Magdalena Bezanilla, Miguel A. Botella, Federica Brandizzí, Tessa M. Burch‐Smith, Kent D. Chapman, Kai Dünser, Yangnan Gu, Yvon Jaillais, Helmut Kirchhoff, Marisa S. Otegui, Abel Rosado, Yu Tang, Jürgen Kleine‐Vehn, Pengwei Wang, Bethany K. Zolman

Bibliographic record

VenueThe Plant Cell · 2021
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of British Columbia
FundersNational Institute of General Medical SciencesJapan Society for the Promotion of ScienceNational Institutes of HealthNational Institute of Food and AgricultureChinese University of Hong KongUniversity of Hong KongCenter for Lignocellulose Structure and FormationInnovative Genomics InstituteOffice of ScienceAustrian Science FundCHIST-ERAAgence Nationale de la RechercheBasic Energy SciencesU.S. Department of AgricultureU.S. Department of EnergyUniversity of Missouri-St. LouisNational Science Foundation
KeywordsGlossaryBiologyCurrent (fluid)Computational biologyLinguisticsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

In this glossary of plant cell structures, we asked experts to summarize a present-day view of plant organelles and structures, including a discussion of outstanding questions. In the following short reviews, the authors discuss the complexities of the plant cell endomembrane system, exciting connections between organelles, novel insights into peroxisome structure and function, dynamics of mitochondria, and the mysteries that need to be unlocked from the plant cell wall. These discussions are focused through a lens of new microscopy techniques. Advanced imaging has uncovered unexpected shapes, dynamics, and intricate membrane formations. With a continued focus in the next decade, these imaging modalities coupled with functional studies are sure to begin to unravel mysteries of the plant cell.

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)0.002
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 score0.030
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0030.005
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0300.032

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 head0.043
GPT teacher head0.277
Teacher spread0.234 · 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

Citations49
Published2021
Admission routes1
Has abstractyes

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