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Record W2989576739 · doi:10.22621/cfn.v133i2.1991

First records of Finescale Dace (<i>Chrosomus neogaeus</i>) in Newfoundland and Labrador, Canada

2019· article· en· W2989576739 on OpenAlexafffundvenueabout
Donald Keefe, Robert Perry, Gregory R. McCracken

Bibliographic record

VenueThe Canadian Field-Naturalist · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsDalhousie UniversityGovernment of Newfoundland and Labrador
FundersDalhousie University
KeywordsMinnowTributaryForagingInterspecific competitionGeographyFisheryFish <Actinopterygii>EcologyBiologyCartography

Abstract

fetched live from OpenAlex

The island of Newfoundland has no official record of cyprinid fishes. Here, we report the discovery of a minnow, Finescale Dace (Chromous neogaeus) from four ponds located in a first order tributary of the Exploits River, in central Newfoundland. This finding represents the first record of the species in the province. The location where the species was found is in a localized, central portion of insular Newfoundland, therefore, the most parsimonious explanation for this new record is that it was an illegal, intentional introduction. Such introductions in other provinces have occurred by anglers who felt it would serve as a forage fish for other species. The consequences of this introduction to native species are unknown; however, the dace’s local abundance, foraging behaviour, and reproductive capacity are discussed in terms of the interspecific competition with native species.

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 score0.301
Threshold uncertainty score0.606

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.183
Teacher spread0.177 · 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

Citations1
Published2019
Admission routes4
Has abstractyes

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