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Record W2124927568 · doi:10.1139/f06-009

Assessing anadromy of brook char (<i>Salvelinus fontinalis</i>) using scale microchemistry

2006· article· en· W2124927568 on OpenAlexfundvenueno aff
David A Courtemanche, Frederick G. Whoriskey, Valérie Bujold, R. Allen Curry

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSalvelinusSeawaterArctic charFish migrationFontinalisStrontiumCharArtificial seawaterEcologyMineralogyEnvironmental chemistryChemistryBiologyFisheryTrout

Abstract

fetched live from OpenAlex

Brook char (Salvelinus fontinalis) exist in both freshwater and anadromous forms, often in sympatry, the ecology of the latter being poorly understood. As strontium (Sr) can substitute to calcium (Ca) and as its concentration in seawater is higher than in freshwater, scale circulii laid down during seawater exposure should be enriched in Sr, allowing precise identification of residence patterns in freshwater and seawater. We attempted to document movements of anadromous brook char using wavelength-dispersive X-ray electron microscopy on individual circulii of sagittally sectioned scales. Body scales of brook char experimentally transferred between freshwater and seawater had elevated Sr/Ca ratios in regions laid down during exposure to seawater. Wild anadromous brook char body scales had consistently higher Sr/Ca ratios than river-resident form. However, in both experimental and wild brook char, Sr/Ca ratios in the scale circulii from freshwater periods showed elevated Sr/Ca ratios after seawater exposure, suggesting whole-scale Sr enrichment associated with exposure to seawater. Although whole-scale elemental composition revealed whether a fish has ever resided in a marine environment, analysis of Sr patterns at the level of individual circulii did not allow resolution of fine-scale patterns of these movements in brook char.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.219
Teacher spread0.195 · 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.

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

Citations19
Published2006
Admission routes2
Has abstractyes

Explore more

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