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Record W7133288506

Modélisation du potentiel de rétablissement du chat-fou du Nord (Noturus stigmosus) au Canada

2024· other· fr· W7133288506 on OpenAlexaboutno aff
Simon R. Fung, Marten A. Koops

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2024
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationWestern europePoison controlLimiting
DOInot available

Abstract

fetched live from OpenAlex

Le Comité sur la situation des espèces en péril au Canada (COSEPAC) a désigné le chat-fou du Nord (Noturus stigmosus) comme une espèce en voie de disparition au Canada. Ce document présente une modélisation de la population pour évaluer l’incidence des dommages causés et établir des objectifs de rétablissement, d’abondance et d’habitat aux fins d’une évaluation du potentiel de rétablissement (EPR). Cette analyse a démontré que le chat-fou du Nord est plus sensible aux perturbations qui touchent la survie des juvéniles. L’analyse de la viabilité des populations a permis de déterminer les objectifs de rétablissement possibles. La viabilité de la population (c.-à-d., une population autosuffisante à long terme) peut être atteinte avec une population d’environ 97 000 adultes et juvéniles (intervalle de confiance [IC] : 29 000 à 230 000) avec une probabilité de persistance de 99 % sur 100 ans. Une telle population aurait besoin d’environ 1 700 hectares dans la rivière Détroit, 1 900 hectares dans la rivière Sainte-Claire et 1 600 hectares dans la rivière Thames.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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 designSimulation or modeling
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