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Record W2078541851 · doi:10.1139/z10-012

Ontogeny of swimming movements in bronze corydoras (Corydoras aeneus)

2010· article· en· W2078541851 on OpenAlexvenueno aff
Quentin Mauguit, Damien Olivier, Nicolas Vandewalle, Pierre Vandewalle

Bibliographic record

VenueCanadian Journal of Zoology · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyFish locomotionHatchingOntogenyFish finAnatomyLarvaFish <Actinopterygii>FisheryEcology

Abstract

fetched live from OpenAlex

Fish larvae experience fundamental morphological, physiological, and physical changes from hatching to adulthood. All of these changes have an effect on the locomotor movements observed in the larvae. We describe the development of swimming movements in larval bronze corydoras ( Corydoras aeneus (Gill, 1858); Ostariophysi, Siluriformes) during their ontogeny. Swimming movements of adults and larvae, aged 0–512 h posthatching, were recorded at 500 frames/s. Movements were analyzed by digitizing points along the fish midline. Movements are described by direct (swimming speed and amplitude of landmarks) and indirect (r2meanand CV of r2as movement coordination indices; Strouhal number as an efficiency index) parameters. The increase in swimming speed correlated with improvement of movement coordination in both larvae and adults, as well as with an increase in swimming efficiency in larvae. Directly after hatching, swimming movements were coordinated but were not efficient. Efficiency increased rapidly with fish growth up to 8 mm total fish length and disappearance of the yolk sac. These events were coupled with reduction of the maximal lateral amplitude observed along the whole body during swimming. The anguilliform swimming mode was used at hatching, but a transition to the carangiform mode was observed at approximately 17 mm total fish length.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.200
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2010
Admission routes1
Has abstractyes

Explore more

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