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Record W1986375957 · doi:10.1139/f00-069

Growth patterns of Labrador Sea Atlantic salmon postsmolts and the temporal scale of recruitment synchrony for North American salmon stocks

2000· article· en· W1986375957 on OpenAlexvenueaboutno aff
Kevin D. Friedland, David G. Reddin

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsJuvenileStock (firearms)FisheryFish stockGeographyOceanographyRange (aeronautics)EcologyFish <Actinopterygii>BiologyGeology

Abstract

fetched live from OpenAlex

We measured postsmolt growth patterns from scales of Atlantic salmon postsmolts captured in the Labrador Sea and adult returns from stocks at the southern end of the range of salmon in North America. Because Labrador Sea postsmolts are believed to represent the juvenile nursery for the entire stock complex, the growth variation for southern stocks may yield insights on the time scale of stock mixing during the postsmolt year. Circuli spacing patterns were extracted from the scales of 1525 salmon for 3 smolt years. For 2 of the 3 years, growth trajectories for fish from the southern stocks intersected the trajectories for Labrador Sea postsmolts after 4-5 circuli pairs. The time that it takes to deposit a circulus during the spring and summer seasons suggests that distribution patterns for regional groups begin to overlap or stocks begin to experience similar environmental conditions by June or July of the postsmolt year, or 1 to 2 months after their migration to sea. In some years, however, it would appear that this mixing does not occur until fall. These data provide the first indication of the time scale of events during the postsmolt year that regional influences may be acting on stocks to produce synchronous recruitment.

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 score0.906
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.015
GPT teacher head0.215
Teacher spread0.201 · 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

Citations26
Published2000
Admission routes2
Has abstractyes

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