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Record W2916115870 · doi:10.5869/fc.2019.v24-1.33

The Distribution and Conservation Status of the White Colour Morph of Faxonius propinquus (Northern Clearwater Crayfish) in Lake Simcoe, Ontario, Canada

2019· article· en· W2916115870 on OpenAlexaboutno aff
Přemek Hamr, Mark Hoel, Kathryn L. Eales

Bibliographic record

VenueFreshwater Crayfish · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCrayfishGeographyEcologyWhite (mutation)FisheryBiology

Abstract

fetched live from OpenAlex

Abstract The white morph of Faxonius propinquus was first identified and described by Dunham and Jordan. They subsequently documented the presence and geographic distribution of other species in Lake Simcoe, including two additional colour morphs of F. propinquus (Dunham et al. 1979). Since then, no further research has been conducted on these populations, even though the lake has now been invaded by the introduced rusty crayfish (Faxonius rusticus). The present study documents the decline and most recent distribution of the F. propinquus colour morphs and the other native species, Faxonius virilis, which also appears to display several unusual colour morphs in Lake Simcoe. The decline of the various colour morphs of F. propinquus, as well as the impact of the F. rusticus expansion in the lake, were assessed through surveys from 2015 to 2018. The significance of the results is discussed with respect to the conservation status and the future management of native crayfishes in Lake Simcoe.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.172
Teacher spread0.167 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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