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Record W7077057547 · doi:10.5376/msb.2024.15.0029

Molecular Signals in Soybean-Rhizobium Symbiosis:A Focus on Nitrogen Fixation

2024· article· en· W7077057547 on OpenAlexvenueno aff

Bibliographic record

VenueMolecular Soil Biology · 2024
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsNitrogen fixationAgricultureMechanism (biology)Fixation (population genetics)NitrogenSustainable agriculture

Abstract

fetched live from OpenAlex

Soybean ( Glycine max ) is an important crop in agriculture worldwide. It can help add nitrogen to the soil through biological nitrogen fixation (BNF) in cooperation with rhizobia, so it plays a big role in sustainable agriculture. This study mainly talks about the molecular mechanism of cooperation between soybean and rhizobia. The study focuses on some of the important signaling pathways and regulatory molecules. The article also shares people's new understanding of the nitrogen fixation process, such as which genetic and environmental factors affect the activity of nitrogenase, and the role of microbiota. The study summarizes the results, emphasizes the potential of integrating soybean-rhizobium symbiosis into global sustainable agriculture, and outlines future research directions to further optimize this key biological process.

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)0.000
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 score0.233
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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