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Record W2180421534 · doi:10.1656/045.022.0314

Spatial Genetic and Body-Size Trends in Atlantic Canada<i>Canis latrans</i>(Coyote) Populations

2015· article· en· W2180421534 on OpenAlexafffundabout
Jason W.B. Power, Nathalie M. LeBlanc, Søren Bondrup‐Nielsen, Mike J. Boudreau, Mike O'Brien, Donald T. Stewart

Bibliographic record

VenueNortheastern Naturalist · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsNova Scotia Department of AgricultureAcadia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCanisNova scotiaMitochondrial DNAHaplotypeGeographyZoologyEcologyBiologyArchaeologyAllele

Abstract

fetched live from OpenAlex

Eastern Canis latrans (Coyote) dispersed into northeastern North America during the last century and into Nova Scotia in the 1970s. En route, Coyotes hybridized extensively with C. lycaon (Eastern Wolf). Coyote populations in northeastern North America contain mitochondrial and nuclear DNA characteristics of both species. In samples collected from Nova Scotia, Prince Edward Island, New Brunswick, and Newfoundland, we found mitochondrial DNA haplotypes characteristic of Coyote and/or Eastern Wolf with decreasing haplotype diversity consistent with sequential founder events/bottlenecks moving from west to east generally and on islands. Principal components analysis of a suite of morphological characters indicated that male eastern Coyotes from Nova Scotia with Eastern Wolf mitochondrial DNA are significantly larger than male eastern Coyotes from the same region with Coyote mitochondrial DNA.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.636

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.233
Teacher spread0.218 · 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.

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
Published2015
Admission routes3
Has abstractyes

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