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Record W4391108221 · doi:10.18435/vamp29393

Hemigrammopetersius barnardi (Teleostei: Characiformes: Alestidae): a study of skeletal ontogeny and identification of homology for phylogenetic analysis

2024· article· en· W4391108221 on OpenAlexafffundvenue
Meghan Dueck, Alison M. Murray

Bibliographic record

VenueVertebrate Anatomy Morphology Palaeontology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicFish biology, ecology, and behavior
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaNatural Sciences and Engineering Research Council of CanadaCanadian Food Inspection Agency
KeywordsOsteologyCharaciformesPhylogenetic treeBiologyCladisticsOntogenyEvolutionary biologyZoologyMorphology (biology)PhylogeneticsTaxonPectoral girdleRange (aeronautics)MyologyAnatomyEcologyGenetics

Abstract

fetched live from OpenAlex

Members of Alestidae, a family of characiforms found in sub–Saharan Africa, have a wide range ofadult body sizes. Because of this range of adult size, phylogenetic characters for the group may be difficult to distinguish from ontogenetic features, resulting in groups being united based on body size rather than evolutionary relatedness. Although previous studies have presented the morphology and osteology of some small and miniature taxa, these were pre–cladistic and did not attempt to distinguish between phylogenetic and ontogenetic features. Here we provide a study on the external morphology and osteology of a small alestid, Hemigrammopetersius barnardi which has reductions and losses of osteological features. We compared this species to juveniles of Alestes dentex, an alestid that attains much larger adult size, to identify characters in H. barnardi that potentially result from a decrease in body size rather than shared ancestry. We found that the loss of particular bones of the circumorbital series and postcranium, as well as a reduction of the sensory canal system, are likely the result of small body size, and therefore are not useful in establishing phylogenetic relationships among alestids.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.268
Teacher spread0.256 · 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.

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

Citations1
Published2024
Admission routes3
Has abstractyes

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