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HARBOR SEAL (PHOCA VITULINA, LINNAEUS) ABUNDANCE AND FISH MIGRATION IN THE SAINT JOHN HARBOUR

2003· article· en· W2192433580 on OpenAlexaffabout
Constance L. Browne, John M. Terhune

Bibliographic record

VenueNortheastern Naturalist · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of New Brunswick
FundersUniversities Space Research Association
KeywordsPhocaHarbor sealSalmoFisheryAlewifeAbundance (ecology)Seal (emblem)Fish <Actinopterygii>HarbourBiologyGeographyZoologyArchaeology

Abstract

fetched live from OpenAlex

Harbor seal (Phoca vitulina Linnaeus) abundance and distribution were examined in the Saint John Harbour, Saint John, New Brunswick, Canada, from May–August of 1999 and 2000. Seal counts in the water were made with respect to tide, time of day, season, and weather. Maximum seal counts per week were compared to peaks in fish runs of alewife (Alosa pseudoharengus Wilson) and Atlantic salmon (Salmo salar Linnaeus). Significantly greater numbers of seals were observed at high tide and with lower temperatures. Seal abundance peaked in early May and coincided directly with the presence of alewife. Seal numbers were not found to be significantly related to adult Atlantic salmon migration through the harbor.

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 score0.300
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)0.0000.000

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 head0.011
GPT teacher head0.226
Teacher spread0.214 · 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

Citations6
Published2003
Admission routes2
Has abstractyes

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