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Record W4406170143 · doi:10.23849/npafctr23/kccc-5p

Where Have All the Chum Salmon Gone? An Assessment of Marine Critical Periods for Western Alaska Chum Salmon During Periods of Extreme Events in their Early Marine and Winter Ocean Habitats

2025· article· en· W4406170143 on OpenAlexaboutno aff
Edward V. Farley, Lukas B. DeFilippo, Emily Fergusson, Todd W. Miller, James M. Murphy, Kathrine Howard, Sara Gilk‐Baumer, Dion S. Oxman, Laurie A. Weitkamp

Bibliographic record

VenueTechnical Report · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFisheryOceanographyMarine lifeMarine habitatsMarine speciesHabitatEnvironmental scienceGeographyEcologyGeologyBiology

Abstract

fetched live from OpenAlex

Record low run sizes of Chum salmon (Oncorhynchus keta) were observed in western Alaska from 2020 to 2022 following marine heat waves (extreme events) that occurred in their early marine and winter ocean habitats. Climate warming impacts on Arctic-Yukon-Kuskokwim (AYK) Chum salmon ecology in freshwater and marine habitats is a shared concern among Alaskan communities. The life history of AYK Chum salmon includes a short period within freshwater habitats, where adults spawn during fall months, eggs hatch during early spring the following year, and smolts leave freshwater and enter the marine environment during late spring and early summer (Urawa et al. 2018). During their first summer at sea, they are found feeding and growing within the shelf regions of the northern and southern Bering Sea as well as the Chukchi Sea. During late fall and winter, they migrate offshore where they overwinter in the Gulf of Alaska (GOA) and eastern North Pacific Ocean (NPO; Myers et al. 2007). They continue their migratory pattern of wintering in the GOA and eastern NPO and summering in the Bering Sea and western GOA for one or more years before migrating back to their natal rivers during spring to begin the cycle again (Fig. 1).

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)0.001
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 score0.008
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.019
GPT teacher head0.312
Teacher spread0.293 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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