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Record W2383620395

DNA barcoding identification kit technology for Tetropium species

2015· article· en· W2383620395 on OpenAlexaboutno aff
Chen Meng

Bibliographic record

VenueKunchong zhishi · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsDNA barcodingBiologyBarcodeQuarantineMitochondrial DNADNA extractionIdentification (biology)PEST analysisSpecies identificationPolymerase chain reactionPlant quarantineDNABiotechnologyZoologyBotanyGeneEcologyGenetics
DOInot available

Abstract

fetched live from OpenAlex

[Objectives] To rapidly and accurately identify Tetropium spp., which are invasive pests commonly intercepted at quarantine ports in shipments of wood, and improve on current, mainly morphologically-based, methods of identifying these pests. [Methods] A DNA barcode detection kit was developed for Tetropium spp. based on the mitochondrial COⅠ gene. DNA extraction methods followed those of the Canadian Plant Development DNA barcode Center. [Results] Nine base sites were obtained from Tetropium spp. [Conclusion] Analysis of different genetic characteristics among Tetropium spp. allowed nine species to be identified. The newly developed DNA barcoding identification kit provides a new way of identifying this pest at ports of entry and exit.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.006

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 head0.024
GPT teacher head0.234
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 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
Published2015
Admission routes1
Has abstractyes

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