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Record W112687700 · doi:10.22621/cfn.v121i1.389

Comparison of Scales, Pectoral Fin Rays and Opercles for Age Estimation of Ontario Redhorse, <em>Moxostoma</em>, Species

2007· article· en· W112687700 on OpenAlexafffundvenueabout
Scott M. Reid

Bibliographic record

VenueThe Canadian Field-Naturalist · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsTrent University
FundersFisheries and Oceans CanadaNatural Sciences and Engineering Research Council of CanadaOntario Federation of Anglers and HuntersMinistry of Natural Resources
KeywordsBiologyEstimationFish finDemographyZoologyFishery

Abstract

fetched live from OpenAlex

Opercle based age estimates of four redhorse species (Moxostoma anisurum, M. carinatum, M. macrolepidotum and M. valenciennesi) were compared with those from two structures that can be obtained non-lethally (scales and pectoral fin rays). For all species, age estimates from scales were significantly lower than those obtained from fin rays and opercles. After ages 4 to 5, age estimates from scales were consistently lower than those from the opercle. Overall differences between age estimates from fin rays and opercles were only detected for M. anisurum. For all species, age estimates from fin rays were consistently lower than opercles after ages 12 to 15. Closer agreement among different structures was identified for populations of M. macrolepidotum comprised of younger individuals. Maximum ages reported for Ontario populations were higher than those previously reported across the species’ ranges, reflecting either geographic differences in growth and longevity, or the historical use of scales for age estimation.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.764

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.021
GPT teacher head0.251
Teacher spread0.230 · 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

Citations9
Published2007
Admission routes4
Has abstractyes

Explore more

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