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Record W4390475554 · doi:10.5376/mpb.2023.14.0020

Research Progress of Soluble Solids Content in Tomato

2023· article· en· W4390475554 on OpenAlexvenueno aff
Hui Zhang, Weimin Zhu, Yan Feng, Chaoping Li, Longying Zhu, Yuting Liu, Xuedong Yang, Yingying Zhang

Bibliographic record

VenueMolecular Plant Breeding · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Mapping and Diversity in Plants and Animals
Canadian institutionsnot available
Fundersnot available
KeywordsSugarBiologyStarchNutrientTotal dissolved solidsBiotechnologyFood scienceBotanyAgronomyEcology

Abstract

fetched live from OpenAlex

Tomato is one of the most important vegetable and fruit crops in the world, which has rich nutritional value. Soluble solids is an important index to measure the quality of tomato. It is mainly composed of soluble sugar, organic acid and other nutrients. It is important to study the changes of key enzymes and genes of sugar and starch metabolism in tomato fruit to reveal the control of soluble solid accumulation in tomato fruit. In this paper, the QTL loci related to soluble solids in tomato, the relationship between soluble solids and tomato fruit size, sugar accumulation in tomato fruit, key enzymes and transcription factors affecting sugar metabolism, and the influence of environmental factors on soluble solids were reviewed. And the future research direction and focus of tomato soluble solids were prospected.

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)0.001
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 score0.015
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.101
GPT teacher head0.312
Teacher spread0.211 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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