MétaCan
Menu
Back to cohort
Record W1523837532 · doi:10.22621/cfn.v122i2.569

Habitat Parameters and Small Mammal Associations of the Gaspe Shrew, <em>Sorex gaspensis</em>, in the Eastern Gaspé Peninsula, Québec

2008· article· en· W1523837532 on OpenAlexafffundvenueabout
Christian Fortin, Denis Comeau

Bibliographic record

VenueThe Canadian Field-Naturalist · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
FundersParks Canada
KeywordsShrewSorexHabitatMammalEcologyBiologyInsectivoraGeography

Abstract

fetched live from OpenAlex

The Gaspé Shrew (Sorex gaspensis) is one of the rarest of Canadian small mammals. Consequently, little is known about its habitat preferences. This paper documents habitat parameters and small mammal species associated with the capture of nine specimens in the Gaspé Peninsula, Québec. Small mammals were collected using both pitfall traps and Victor snap traps at 22 sites during August and September 2005. A total of 571 small mammals representing 12 species was captured during 5637 trap nights. S. gaspensis specimens were trapped at sites located on hilly, rocky habitats. Microhabitat was cool and moist in all cases. Slope was always over 15 degrees and altitude ranged from 29 to 240 meters. Estimated percent of moss ground cover exceeded 50% in seven of the nine capture sites. Six S. gaspensis were trapped near running water while the others were captured far from streams. Overall, ten species of small mammals were captured in the same sites of S. gaspensis. Smoky Shrew (Sorex fumeus) was by far the most strongly associated 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 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 score0.567
Threshold uncertainty score0.825

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.200
Teacher spread0.176 · 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

Citations1
Published2008
Admission routes4
Has abstractyes

Explore more

Same venueThe Canadian Field-NaturalistSame topicEcology and biodiversity studiesFrench-language works237,207