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Record W2622789434 · doi:10.1139/cjz-2016-0289

St. Matthew Island colonized through multiple long-distance red fox (<i>Vulpes</i> <i>vulpes</i>) dispersal events

2017· article· en· W2622789434 on OpenAlexvenueno aff
Kevin E. Colson, James Dale Smith, Kris J. Hundertmark

Bibliographic record

VenueCanadian Journal of Zoology · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
Fundersnot available
KeywordsVulpesBiological dispersalLagopusArctic foxBiologyEcologyArcticZoologyPredationPopulation

Abstract

fetched live from OpenAlex

Expansion of red fox (Vulpes vulpes (L., 1758)) into new arctic habitat and the potential for competition with arctic fox (Vulpes lagopus (L., 1758)) are of considerable conservation concern. Previous work has focused on red fox expanding into contiguous areas with few barriers to dispersal. Here, we examine mitochondrial DNA in red fox on recently colonized St. Matthew Island in the Bering Sea to determine their ultimate origin. Though limited in sample size (n = 7), we found that St. Matthew Island was colonized by North American lineages; surprisingly, despite the >400 km distance to the mainland, we found the island was colonized by at least three mitochondrial matrilines. These results suggest that even extremely isolated places may be colonized by red fox, and that the over-ice or over-ocean dispersal ability of red fox may have been previously underappreciated.

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 score0.227
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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

Citations7
Published2017
Admission routes1
Has abstractyes

Explore more

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