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Record W6962757862 · doi:10.17895/ices.pub.25074437

Pacific salmon and farmed salmon on the Pacific coast of Canada

2009· other· en· W6962757862 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2009
Typeother
Languageen
FieldComputer Science
TopicFuzzy Logic and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsFish farmingAquaculturePacific oceanAgricultureFish <Actinopterygii>Pacific RimFisheries management

Abstract

fetched live from OpenAlex

No abstracts are to be cited without prior reference to the author.The relationship between Pacific salmon (Oncorhynchus spp.) and farmed Atlantic salmon (Salmo salar) remains as one of the most contentious issues in the history of the management of Pacific salmon in British Columbia. The issue is fuelled by a decrease in the commercial catch of Pacific salmon and escalating production of farmed salmon. In 2008, for example, the annual production of farmed salmon was about ten times larger than the commercial catch of Pacific salmon (Figure 1). Salmon farming is controversial for scientific reasons and in some cases for ideological reasons. In British Columbia, one major concern is the effect that sea lice produced on farmed salmon have on wild Pacific salmon. British Columbians use the health of Pacific salmon as a measure of their quality of life. Anything that threatens Pacific salmon makes many people uncomfortable. Thus, in 2002, when there was an unexpected poor return of pink salmon (O. gorbuscha) in an area of intensive fish farming, the issues relating to salmon farming became a public concern

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.109
Threshold uncertainty score0.363

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.011
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1090.009

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 head0.017
GPT teacher head0.219
Teacher spread0.202 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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