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Record W2956067984 · doi:10.1139/cjfas-2019-0066

When the presence of a vateritic otolith has morphological effect on its aragonitic partner: trans-lateral compensation induces bias in microecological patterns in one-side-only vateritic otolith

2019· article· en· W2956067984 on OpenAlexvenueno aff
M.R. Vignon

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
FundersUniversité de Pau et des Pays de l'AdourInstitut National de la Recherche Agronomique
KeywordsOtolithAragoniteSalmoBiologyFisheryFish <Actinopterygii>MineralogyAnatomyChemistryCalcitePaleontology

Abstract

fetched live from OpenAlex

In many teleost species, aragonite is the normal form of calcium carbonate in sagittal otoliths. In the case of one-side-only (OSO) vateritic otoliths (abnormal crystalline structure), morphological investigations are systematically conducted on the other side. The implicit assumption is that the morphological information on the aragonitic side remains unaffected by the presence of vaterite on the other side. However, the extent to which this assumption is met has never been explored. Applying geometric morphometrics on experimentally maintained brown trout (Salmo trutta) revealed incongruent variational patterns and mean shape differences between OSO and two-sided aragonitic otoliths, possibly due to trans-lateral compensation to preserve their auditory function. More specifically, fully aragonitic pairs of otoliths are more prone to exhibit microecological variations compared with OSO vateritic pairs. Simulation emphasizes the relative robustness of both micro- and macroecological effects until a high proportion of OSO vateritic otoliths is used. Given that otolith shape analysis provides a useful basis for stock separation, care should be taken when interpreting otolith shape in the presence of vateritic otoliths.

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)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.057
GPT teacher head0.244
Teacher spread0.187 · 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

Citations10
Published2019
Admission routes1
Has abstractyes

Explore more

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