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Record W2054936432 · doi:10.1139/f03-028

Stability of elemental signatures in the scales of spawning weakfish, <i>Cynoscion regalis</i>

2003· article· en· W2054936432 on OpenAlexvenueno aff
Brian K. Wells, Simon R. Thorrold, Cynthia M. Jones

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric Administration
KeywordsOtolithEstuaryJuvenileBaySciaenidaeBiologyFisheryZoologyOceanographyFish <Actinopterygii>EcologyGeology

Abstract

fetched live from OpenAlex

We quantified elemental signatures in scales of ages-1 and -2 weakfish, Cynoscion regalis, collected during the spawning season in Pamlico Sound, Chesapeake Bay, and Delaware Bay in 1998. We compared these signatures with elemental signatures from scales of juvenile weakfish collected while still resident in natal estuaries at five locations along the Atlantic coast in 1996 and 1997. Although Mg/Ca and Mn/Ca were lower in the juvenile portion of scales from adults compared with scales from juvenile fish, Sr/Ca and Ba/Ca were similar in the three age groups. We compared scale and otolith chemistries from juveniles and adults to determine if relative concentrations of elements/Ca in scales remained consistent, even if absolute levels were altered. Scale Mn/Ca and Ba/Ca remained correlated with those in otoliths of adult fish. Finally, we examined the ability of elemental signatures in scales to act as natural tags of natal estuaries in spawning weakfish. Allocation of fish to natal estuaries based on geochemical signatures in scales and otoliths from age-1 fish was similar; however, allocation was different for age-2 fish. Elemental signatures in scales degraded after the juvenile period and after maturation were insufficiently stable for use as a natural tag of natal origins in weakfish.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

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 science0.0000.000
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 head0.234
Teacher spread0.213 · 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

Citations34
Published2003
Admission routes1
Has abstractyes

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