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Record W2051710182 · doi:10.1577/t05-197.1

Large‐Scale Marine and Freshwater Movements of White Sturgeon

2006· article· en· W2051710182 on OpenAlexaff
David W. Welch, Scott M. Turo, Sonia Batten

Bibliographic record

VenueTransactions of the American Fisheries Society · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsKintama (Canada)Vancouver Island UniversityFisheries and Oceans Canada
FundersUniversity of California, Davis
KeywordsSturgeonFisheryAcipenserLake sturgeonFish measurementGeographyPopulationWhite (mutation)OceanographyEnvironmental scienceFish <Actinopterygii>BiologyGeology

Abstract

fetched live from OpenAlex

Abstract Sturgeon movements are poorly known. We report here telemetry data on the marine and freshwater movements of a 188‐cm (fork length; probably 30–60 years old) white sturgeonAcipenser transmontanusover a 19‐month period. Initially tagged in the Klamath River, California, in May 2002, it remained there until emigrating to the ocean in November 2002. It was next detected more than 1,000 km away in the Fraser River, British Columbia, where it made extended in‐river movements in September and October 2003. Given the long periods of time spent in at least two very different river systems (one clear and one highly turbid), the home river is uncertain. Large‐scale movements of sturgeon outside the home river have serious implications for population assessments and development of successful management plans. Our results highlight the potential value of permanent large‐scale telemetry systems.

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)0.000
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.184
Teacher spread0.180 · 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
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueTransactions of the American Fisheries SocietySame topicFish Ecology and Management StudiesFrench-language works237,207