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Record W7098836862

Canadian Members

2010· article· en· W7098836862 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsnot available
Fundersnot available
KeywordsSound (geography)PopulationFisheries managementAbundance (ecology)Fish <Actinopterygii>Range (aeronautics)
DOInot available

Abstract

fetched live from OpenAlex

The Coho Technical Committee was given the task of analyzing the effects of management unit (MU) size on harvest, escapement, and fishery management processes for coho salmon under the Pacific Salmon Treaty (PST). Puget Sound is currently comprised of five separate wild coho MUs and Interior Fraser is comprised of five separate Canadian Wild Salmon Policy conservation units (CU), but is managed as a single MU. To analyze the effects of lumping or splitting these component units, we examined three hypothetical management regimes for both Puget Sound and Interior Fraser River: 1) Manage coho from each region as a single MU in all fisheries (i.e., all Puget Sound MUs would be lumped into a single MU), 2) Manage each as five separate MUs in all fisheries (i.e., each Interior Fraser CU would be managed as a seperate MU), or 3) Manage each as one aggregate MU to set PSC ceilings, but as five separate MUs in domestic fishery management processes. We simulated these regimes under a range of abundance scenarios for each population within the MU, and projected the total harvestable numbers by using the Comprehensive Coho abundance breakpoints

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.468
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0080.001
Scholarly communication0.0050.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6010.248

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 head0.007
GPT teacher head0.176
Teacher spread0.168 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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