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Decadal‐scale patterns in the relative year class success of sablefish (<i>Anoplopoma fimbria</i>)

2000· article· en· W1977931561 on OpenAlexafffundabout
King King, Mcfarlane, Beamish

Bibliographic record

VenueFisheries Oceanography · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsFisheries and Oceans Canada
FundersFisheries and Oceans Canada
KeywordsOceanographyScale (ratio)ProductivityGeographySea surface temperatureEnvironmental scienceAbundance (ecology)FishingClimatologySpatial ecologyFisheryGeologyEcologyBiologyCartography

Abstract

fetched live from OpenAlex

Climate–ocean regimes in the north‐east Pacific translate into decadal‐scale patterns in the relative success of sablefish ( Anoplopoma fimbria ). By combining estimates of year class abundance determined from commercial catches and research surveys for adults and juveniles, we were able to construct an index of year class success. Year classes from 1960 to 1976 were generally below average, with little indication of good year class success. The 1977 year class was exceptionally large and year classes from 1978 to 1990 were generally above average. Year classes following 1990 were generally below average. The periods with above‐average year classes were generally characterized by intense Aleutian Lows, above‐average frequency of south‐westerly winds and warmer coastal sea surface temperatures off the west coast of Vancouver Island. Decadal‐scale patterns in the production of sablefish suggest stability in long‐term periods of similar recruitment but different mean levels of productivity across periods. However, rapid shifts between periods remain unpredictable and therefore complicate the incorporation of decadal‐scale dynamics in management.

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 score0.070
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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

Citations36
Published2000
Admission routes3
Has abstractyes

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