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DIET OF WHITE PERCH (MORONE AMERICANA) IN THE RICHIBUCTO ESTUARY, NEW BRUNSWICK

2002· article· en· W2173811860 on OpenAlexaffabout
André St‐Hilaire, Simon C. Courtenay, F Dupont, Andrew D. Boghen

Bibliographic record

VenueNortheastern Naturalist · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsInstitut National de la Recherche ScientifiqueInstitut National d'Optique
Fundersnot available
KeywordsPerchEstuaryFisheryBiologyShrimpBass (fish)PopulationWhite (mutation)Fish <Actinopterygii>

Abstract

fetched live from OpenAlex

The Richibucto Estuary, located in the southern Gulf of St. Lawrence, is rearing habitat for a population of white perch (Morone americana), as well as for young-of-the-year striped bass (M. saxatilis) which immigrate from the nearby Miramichi Estuary. In this study we compared the diet of white perch caught in the Richibucto Estuary to a previously published account of the diet of young-of-the-year striped bass in the Miramichi Estuary. One hundred and fifteen white perch of 26–168 mm total length (TL) were collected from the Richibucto Estuary between 25 June and 10 October 1998 by onshore beach seining at 10 sites. Eighty-nine percent of their stomachs contained food. Sand shrimp (Crangon septemspinosa) were found in 69–79% of stomachs and constituted at least 80% of total dietary weight for white perch = 50 mm TL. Copepods (cyclopoids and the large calanoid Eurytemora sp.) constituted almost all of the diet of small white perch (<50 mm TL) found in low salinity but in higher salinities (11–20‰) mysids and sand shrimp were also important components of the diet. Polychaete worms and amphipods (Gammarus sp.) were minor constituents of the diet of both size categories of white perch. The diet of young-of-the-year white perch in the Richibucto Estuary was found to be similar to that of young-of-the-year striped bass studied previously in the Miramichi Estuary.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.221
Teacher spread0.206 · 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.

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

Citations15
Published2002
Admission routes2
Has abstractyes

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