MétaCan
Menu
← Back to cohort
Record W1554363609 · doi:10.22621/cfn.v120i4.349

First Records of the Yellow Bullhead, <em>Ameiurus natalis</em>, a Loricariid Catfish, <em>Panaque suttonorum</em>, and a Silver Pacu, <em>Piaractus</em> cf. <em>P. brachypomus</em>, in British Columbia

2006· article· en· W1554363609 on OpenAlexaffvenueabout
G. F. Hanke, M. C. E. McNall, James J. Roberts

Bibliographic record

VenueThe Canadian Field-Naturalist · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsRoyal British Columbia Museum
Fundersnot available
KeywordsMicropterusCatfishBiologyFisheryIctaluridaePacuBass (fish)Introduced speciesIctalurusEcologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

In Canada, there are no native catfish west of the continental divide and until recently, the list of extant exotic catfishes in British Columbia only included introduced Black Bullhead (Ameiurus melas) and Brown Bullhead (Ameiurus nebulosus). We report that a single Yellow Bullhead (Ameiurus natalis) was collected from Silvermere Lake in the Lower Fraser River drainage. This represents the first record of the Yellow Bullhead in western Canada, and its introduction likely was accidental with a shipment of Largemouth Bass (Micropterus salmoides) rather than dispersal from Washington. Warm, eutrophic, weedy habitat in the Fraser Delta provides ample habitat for Yellow Bullheads and other exotic fishes. A Blue-eyed Panaque (Panaque suttonorum), a loricariid catfish found in 1995 in Shawnigan Lake, Vancouver Island, probably represents a single, illegally released aquarium fish, as does a large Silver Pacu (Piaractus cf. P. brachypomus), which was found in Green Lake on Vancouver Island in 2004.

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)0.000
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 score0.567
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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

Citations2
Published2006
Admission routes3
Has abstractyes

Explore more

Same venueThe Canadian Field-Naturalist→Same topicFish Ecology and Management Studies→French-language works237,207→