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Record W4221048226 · doi:10.3389/fpls.2022.876502

Editorial: Advances in Pollen Research: Biology, Biotechnology, and Plant Breeding Applications

2022· editorial· en· W4221048226 on OpenAlexaff
Concepción Gómez‐Mena, David Honys, Raju Datla, Pilar S. Testillano

Bibliographic record

VenueFrontiers in Plant Science · 2022
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsUniversity of SaskatchewanGlobal Institute for Water Security
Fundersnot available
KeywordsPollenBiologyDomesticationContext (archaeology)StamenBiotechnologyPlant reproductionPlant evolutionCropBotanyPollinationGeneGeneticsEcologyGenome

Abstract

fetched live from OpenAlex

In flowering plants, mature pollen grains are produced within the developing anthers of the flowers in two successive phases, microsporogeneseis and microgametogenesesis.Anther and pollen development involves the coordinated growth and differentiation of tissues and cell types required for the formation of viable male gametes, but also, to permit pollen release and ensure successful fertilization. The identification of the genetic networks and regulatory molecules involved in the formation of the anther remains a highly unexplored topic in many crops. Evolutionary and functional studies in crops are helping to unravel new functions for genes originally identified in model plants (Rojas-Gracia et al. 2017) and the changes in transcriptional profiles associated with plant domestication (Xiang et al. 2019). Under the global changes in environmental conditions, pollen development is probably one of the most vulnerable and challenged stages of plant reproduction (Chaturvedi et al. 2021). In this context, increasing basic research will provide valuable information to assist the design of biotechnological tools to mitigate this effect especially in crop systems in the future. All authors contributed to the article and approved the final version of the manuscript.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
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 head0.015
GPT teacher head0.307
Teacher spread0.293 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations8
Published2022
Admission routes1
Has abstractyes

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