MétaCan
Menu
Back to cohort
Record W4413301454 · doi:10.1101/2025.08.11.669704

Effects of ceratotrichia diameter and packing density on chimaera pectoral fin kinematics

2025· preprint· en· W4413301454 on OpenAlexafffund
Duncan W. G. Kennedy, Kayla Hall, Cassandra M. Donatelli, Kelsey Lucas

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldEngineering
TopicSports Dynamics and Biomechanics
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsKinematicsFish finAnatomyBiologyPhysicsFisheryClassical mechanicsFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Abstract Chimaeras – an ancient group of cartilaginous fishes – swim by flapping their pectoral fins in a distinctive locomotory mode, termed flapping flight, that induces an undulatory wave traveling from the leading edge to the trailing edge of the fin. Recent work on bony fishes has shown that fins with internal structure (fin rays) may behave differently than models made of a single material. Our goal was to understand the potential significance of internal structure for the swimming kinematics of chimaeras. We designed an actuation system based on the kinematic patterns of real chimaeras and examined artificial fins of varying fin ray diameter and packing density to investigate how internal anatomy influences pectoral fin tip amplitude, leading-edge curvature, and the induction of undulatory waves. Both diameter and packing density influenced fin kinematics, but diameter had a much larger effect on fin tip amplitude over the tested ranges. Additionally, established rules for undulatory waves outlined in the flexible foil literature did not hold for our fin models. Our work provides new insights into the anatomical parameters that could influence the evolution of chimaera flapping flight, and pectoral fin locomotion more broadly, and provides direction for possible biomimetic applications.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.005
GPT teacher head0.182
Teacher spread0.177 · 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 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
Published2025
Admission routes2
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicSports Dynamics and BiomechanicsFrench-language works237,207