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Record W4415721453 · doi:10.5376/tgmb.2025.15.0024

Prospects for Synthetic Biology and Sustainable Utilization of <i>Torreya grandis</i>

2025· article· W4415721453 on OpenAlex

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
Language
FieldChemistry
TopicWood and Agarwood Research
Canadian institutionsnot available
Fundersnot available
KeywordsSynthetic biologySustainable developmentTranscriptomeComponent (thermodynamics)Key (lock)Metabolic engineering

Abstract

fetched live from OpenAlex

This study summarized the molecular regulation and synthetic pathways of Torreya grandis in major metabolites such as sterols, amino acids and flavonoids. Through joint analysis of gene cloning, transcriptome and metabolome, it was found that some key genes play important roles in the synthesis and stress resistance of active components, and the regulatory potential of transcription factors in metabolic pathways was explored. The nutrient cycling and utilization of Torreya grandis at different forest ages were reviewed. It was expounded that precise nutrition management is crucial for the long-term stability and sustainable development of the forest stand. Combined with the methods of synthetic biology, the prospects and challenges of Torreya grandis in high-value utilization and the development of eco-friendly industries were proposed. This research aims to provide theoretical and technical support for the molecular breeding, functional component development and sustainable utilization of Torreya grandis .

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.016
GPT teacher head0.283
Teacher spread0.268 · 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