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Record W7000278992

Evolutionary relationships in Anax dragonflies

2018· article· en· W7000278992 on OpenAlexaboutno aff

Bibliographic record

VenueScholarsArchive (Brigham Young University) · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsnot available
Fundersnot available
KeywordsTSG101LimitingCircumstantial evidenceNucleofectionNettingPopulation
DOInot available

Abstract

fetched live from OpenAlex

Anax dragonflies are found worldwide, with many species migrating across continents. One species of Anax, A. junius, makes annual migrations travelling thousands of miles each fall from Canada to Mexico (May 2013). Researchers from all over the world use Anax to learn about vision, insect musculature and insect migration. For example, A. junius is a favorite of many research projects in North America (Bybee et al. 2012), while A. imperator is often used by European collaborators (Sharkey et al. 2015), and A. parthenope by Asian collaborators (Futahashi et al. 2015). However, despite widespread interest in Anax, relationships among species remain murky. Specifically, the relationship between Anax and Hemianax is unclear. They were previously considered the sister to each other, but recently some have suggested collapsing the two groups to reduce paraphyly (Peters 2000; Schorr et al. 2007). It is still unclear if they should be combined or left as sister to each other, and some continue to distinguish the two groups as separate (Von Ellenrieder 2002). Because Anax is a highly mobile group, very few geographic structures limit populations. Therefore, it is interesting to investigate what genetic barriers or migratory events divided populations enough to limit gene flow and promote speciation. This can be then applied to other groups to better understand how geographic distribution relates to evolutionary relationships. In this study, we compared four genes from 22 species to answer these questions as well as clarify general evolutionary relationships between species in Anax.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.043
GPT teacher head0.261
Teacher spread0.218 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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