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Record W2096488760 · doi:10.11646/zootaxa.3752.1.16

A DNA sequence-based identification checklist for Taiwanese chondrichthyans

2013· article· en· W2096488760 on OpenAlexfundno aff
Nicolas Straube, William T. White, Hsuan‐Ching Ho, Elisabeth Rochel, Shannon Corrigan, Chenhong Li, Gavin J. P. Naylor

Bibliographic record

VenueZootaxa · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsnot available
FundersNational Museum of Marine Biology and AquariumMuséum National d'Histoire NaturelleTerry Fox Research InstituteHokkaido UniversityNational Science CouncilCommonwealth Scientific and Industrial Research OrganisationNational Science Foundation
KeywordsBiologyChecklistFaunaPhylogeneticsContext (archaeology)Evolutionary biologyMitochondrial DNADNA sequencingChondrichthyesZoologyEcologyGeneGeneticsPaleontology

Abstract

fetched live from OpenAlex

In an effort to establish a DNA sequence based checklist of the highly diverse chondrichthyan fauna of Taiwan, we sequenced the mitochondrial NADH2 gene of 257 freshly sampled specimens of Taiwanese chondrichthyans, which were identified to species level by experts in the field. The newly generated sequences were analysed in the context of an already published phylogeny based on NADH2 sequences of chondrichthyans to identify taxonomically interesting lineages as well as enhancing the already published phylogeny with species hitherto not included. Results show a number of noteworthy findings indicating distinct population differences or cryptic diversity and enhance published data with 22 new species not analyzed so far. Our study may be helpful for further taxonomic work on the Taiwanese chrondrichthyan fauna.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.995

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)0.0060.006

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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations31
Published2013
Admission routes1
Has abstractyes

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