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Record W7133279408

Information on Atlantic Salmon (Salmo salar) from Salmon Fishing Area 18 (Gulf Nova Scotia) of relevance to the development of a 2nd COSEWIC status report

2023· other· en· W7133279408 on OpenAlexaboutno aff
Abby Daigle

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaFishingEndangered speciesCapeWildlifePopulationHabitatCommercial fishing
DOInot available

Abstract

fetched live from OpenAlex

This document presents information on Atlantic Salmon (Salmo salar) for rivers in Salmon Fishing Area 18 (SFA 18; Northumberland Strait Nova Scotia and Western Cape Breton) of relevance to the development of the status report by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC). There are 55 potential Atlantic Salmon rivers in SFA 18. Of these, the Gulf Nova Scotia (GNS) program focuses its monitoring efforts on four index rivers within SFA 18: The Margaree River, West River Antigonish, East River Pictou, and River Philip. For the Margaree River in 2019, the estimated eggs in the returns of small Salmon and large Salmon combined were 3.9 times greater than the lower reference point (LRP) value. The Salmon population has remained above the LRP for the duration of the Margaree monitoring program (1987 to present). However, returns to all rivers in SFA 18 remain below the long-term return average. The principal threats in SFA 18 are: habitat shifting and alteration, extreme temperatures, and droughts, all of which are related to global climate change.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.124
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.005

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 head0.248
Teacher spread0.231 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207