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Record W4414029924 · doi:10.5376/tgmb.2025.15.0014

Functional Genomics of Root Development in <i>Populus</i> and Its Ecological Implications

2025· article· en· W4414029924 on OpenAlex
Minghua Li, Hongpeng Wang, Shiying Yu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTree Genetics and Molecular Breeding · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyFunctional genomicsGenomicsRoot (linguistics)Computational biologyGeneticsGeneGenomePhilosophyLinguistics

Abstract

fetched live from OpenAlex

This study summarizes the research progress of functional genes in the development of poplar root systems, introduces some important genes and signaling pathways that control the shape, differentiation process and response to the external environment of roots, integrates many methods such as transcriptome analysis, gene editing and epigenetic research, and clarifies the response of poplar root systems to drought, nutrient deficiency and interaction with microorganisms It also explores how these root traits are regulated within the body and discusses the possible assistance they may bring in afforestation, ecological restoration and other aspects. This study aims to provide a theoretical basis and technical reference for the study of poplar root systems, and also hopes to lay the foundation for breeding new varieties that are more adapted to the environment and have better traits in the future.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.021
GPT teacher head0.216
Teacher spread0.195 · 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