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Record W4386429973 · doi:10.3391/bir.2023.12.3.20

The western tubenose goby (Proterorhinus semilunaris Heckel, 1837) is expanding its range into the St. Lawrence River: first record in Quebec

2023· article· en· W4386429973 on OpenAlexaffabout
Jesica Goldsmit, Yves Paradis, Nathalie Vachon, Virginie Boivin, Olivier Morissette, Annick Drouin

Bibliographic record

VenueBioInvasions Records · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversité du Québec à ChicoutimiMinistère des Forêts, de la Faune et des Parcs
Fundersnot available
KeywordsGobyRange (aeronautics)FisheryGeographyAquatic animalIntroduced speciesEcologyBiologyFish <Actinopterygii>Engineering

Abstract

fetched live from OpenAlex

The invasive western tubenose goby (Proterorhinus semilunaris) was introduced in the Great Lakes in the 1990s. Since then, its range slowly expanded downstream into Ontario’s portion of the St. Lawrence River. This rapid communication reports on the first occurrence of a western tubenose goby found in Lake St. Francis (St. Lawrence River, Quebec) in August 2022. The specimen, the study area and the sampling methodology are described while hypotheses about its presence and expansion are explored.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.022
GPT teacher head0.250
Teacher spread0.228 · 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 teacher head, not a consensus.

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

Citations2
Published2023
Admission routes2
Has abstractyes

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