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Record W7133284050

Science Response : updated LURS abundance and genetic analyses

2024· other· en· W7133284050 on OpenAlexaboutno aff
Fisheries and Oceans Canada, Pêches et Océans Canada

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEndangered speciesThreatened speciesPopulationAbundance (ecology)Critically endangeredPopulation sizeSmeltQuadratWildlife
DOInot available

Abstract

fetched live from OpenAlex

Lake Utopia is part of the Magaguadavic River watershed in southwestern New Brunswick. The Rainbow Smelt (Osmerus mordax) living in Lake Utopia (LURS) represent one of the only three confirmed occurrences in Canada of co-existing genetically divergent smelt populations. Two populations of smelt co-exist in the lake: the small-bodied population (SbP) and the large-bodied population (LbP). The SbP has been protected under the Species at Risk Act (SARA) since 2003. The LbP was designated as Threatened by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC 2008) because it is one of a sympatric species pair, it is endemic to a single lake with a small index of area of occupancy (6 km2), it spawns in only three small streams, and it could quickly become extinct through degradation of spawning streams from increasing development around the lake shore and impacts of the dip-net fishery. Potential threats identified by COSEWIC (2008) were the introduction of exotic species and increasing eutrophication. Fisheries and Oceans Canada (DFO) undertook a Recovery Potential Assessment (RPA) for both LbP and SbP populations in 2010 (DFO 2011). Both populations were re-assessed as endangered by COSEWIC in 2018. The LbP was listed as endangered under SARA in 2019. Sampling of the 2014 and 2017 LbP spawning runs were used to estimate population abundance and provide advice on an appropriate population size objective, as well as the likelihood that the population objective could be achieved under current levels of mortality (DFO 2018). However, the abundance estimates for the 2014 and 2017 spawning runs were uncertain as genetic analyses of the 2014 spawning run indicated a mismatch between expected genotype and the minimum fork length used to differentiate LbP from SbP spawners. No genetic analyses were available for the 2017 spawning run. Recent genetic analyses of the 2017 LbP spawning run, as well as tissue sampling of SbP spawners in 2017 and 2018, provide an opportunity to review the minimum fork length that can be used to differentiate phenotypically between the LbP and SbP populations. The objectives of this Science Response Process were to: Provide updated abundance estimates for LURS-LbP in 2014 and 2017 based on genetic analysis of these samples undertaken in 2019. Review the recommended minimum fork length criterion for distinguishing LURS-LbP from LURS-SbP. Discuss how the genetic analyses and updated abundance estimates affect the likelihood that the updated abundance objective for LURS-LbP can be achieved under current levels of mortality (actual mortality levels are not known). This Science Response Report results from the Regional Science Response Process of November 19, 2019, and January 20, 2020, on Lake Utopia Rainbow Smelt, Large-bodied Population (LURS-LbP) Population Abundance and Allowable Harm Estimate.

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)0.003
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1030.046

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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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
Published2024
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