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Record W4313257573 · doi:10.5869/fc.2022.v27-1.9

First Records of White River Crayfish (Procambarus acutus) in Canada on Pelee Island, Ontario, with notes on other crayfish species present and their habitats

2022· article· en· W4313257573 on OpenAlexaffabout
Thomas J. Hossie, Přemek Hamr

Bibliographic record

VenueFreshwater Crayfish · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsTrent University
Fundersnot available
KeywordsCrayfishInvasive speciesEcologyHabitatShellfishFreshwater ecosystemGeographyIntroduced speciesFisheryAquatic ecosystemWildlifeBiologyEcosystemAquatic animal

Abstract

fetched live from OpenAlex

Abstract Freshwater crayfish rank among the most imperilled groups and play several critical roles in freshwater ecosystems, yet survey efforts remain limited throughout much of Canada and North America. Inadequate survey and monitoring efforts render our ecosystems vulnerable to the introduction and spread of harmful invasive species which can be difficult or impossible to control following establishment. During surveys targeting salamander larvae across Pelee Island, Ontario we incidentally captured crayfish and identified them to species. Three species were detected including two native species known only from collections in the 1960s (Creaserinus fodiens, Faxonius immunis) as well as the non-native White River Crayfish (Procambarus acutus) which has not been documented previously in Canada. Our oldest record of P. acutus is from 2015, and the species currently appears to be widespread and well established on Pelee Island and has also recently been recorded in Six Mile Lake on the Canadian Shield. We provide preliminary data on the aquatic habitats where each species was found on Pelee Island and strongly encourage additional monitoring efforts combined with targeted education efforts to prevent the spread of P. acutus to the Ontario mainland.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.000

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 head0.010
GPT teacher head0.173
Teacher spread0.164 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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