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Record W3121159613 · doi:10.5376/jtsr.2020.10.0002

Analysis of DNA Barcoding Suitable for Tea Tree Field Genebank

2020· article· en· W3121159613 on OpenAlexvenueno aff
Yanyan Li, Wei Huang, Jiajia Lin, Chuanpeng Nie

Bibliographic record

VenueJournal of Tea Science Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsnot available
Fundersnot available
KeywordsDNA barcodingBiologyChloroplast DNADNA sequencingHaplotypeTree (set theory)BotanySequence (biology)GenePhylogenetic treeEvolutionary biologyGeneticsGenotypeMathematicsCombinatorics

Abstract

fetched live from OpenAlex

With the development of research for DNA barcoding, its application has attracted more and more attention. In this study, 100 tea tree samples were selected as subjects, the partial sequences of chloroplast matK and rbcL genes were used to investigate the molecular barcodes suitable for tea tree The results showed that the rbcL sequences of 100 tea samples were identical, the matK sequences were different, the genetic distance ranged from 0.000 to 0.032, the sequences could be divided into 14 haplotypes, Hd and Pi were 0.604 and 0.23×10-2, at the same time, the construction analysis of the sequence is carried out. The results showed that the matK sequence could be used in the development and utilization of DNA barcoding of tea tree field genebank.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.154
GPT teacher head0.440
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), 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
Published2020
Admission routes1
Has abstractyes

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