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Record W2104512900 · doi:10.1002/ar.21406

Convergent Evolution Driven by Similar Feeding Mechanics in Balaenopterid Whales and Pelicans

2011· article· en· W2104512900 on OpenAlexafffund
Daniel J. Field, Sheng Chuan Lin, Micha Ben‐Zvi, Jeremy A. Goldbogen, Robert E. Shadwick

Bibliographic record

VenueThe Anatomical Record · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaUniversities Space Research Association
KeywordsFlexural rigidityConvergent evolutionExtensibilityBiologyEvolutionary biologyComputer scienceStructural engineeringEngineeringPhylogenetic tree

Abstract

fetched live from OpenAlex

The feeding apparatuses of rorqual whales and pelicans exhibit a number of similarities, including long, kinetic jaws that increase gape size, and extensible tissue comprising the floor of the mouth. These specializations enable the engulfment of large volumes of prey-laden water in both taxa. However, the mechanics of engulfment feeding in rorquals and pelicans have never been quantitatively compared. Here, we use "BendCT," a novel analytical program, to investigate the mechanical design of rorqual and pelican mandibles, to understand whether these bones show comparable designs for resisting similar hydrodynamical loads. We also compare the mechanical properties of the extensible tissue used during engulfment in rorquals and pelicans. We demonstrate that the evolutionary convergence in the feeding apparatus of rorquals and pelicans is more pronounced than has been recognized previously; both taxa exhibit mandibular flexural rigidity distributions suited for resisting dorsoventral bending stresses encountered while feeding, and possess similarly extensible tissue on the floor of their mouths.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.999

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.218
Teacher spread0.197 · 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

Citations23
Published2011
Admission routes2
Has abstractyes

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