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Record W4205717829 · doi:10.1002/ece3.6429

Issue Information

2021· paratext· en· W4205717829 on OpenAlexfundaboutno aff

Bibliographic record

VenueEcology and Evolution · 2021
Typeparatext
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
FundersInternational Institute of Tropical ForestryInstitute for Future Environments, Queensland University of TechnologyNatural Resources CanadaWeill Cornell Medicine - QatarUniversity at AlbanyCommonwealth Scientific and Industrial Research OrganisationWeill Cornell Medical CollegeUniversidade Federal de Minas GeraisSwiss Federal Institute for Forest, Snow and Landscape ResearchAix-Marseille UniversitéHuazhong Agricultural UniversityMassey UniversityUniversity of BathUniversity of ExeterMississippi State UniversityIndian Institute of ScienceQueensland University of TechnologyUniversity of North FloridaUniversity of the Sunshine CoastUniversité du Québec à RimouskiUniversitetet i TromsøUniversity of MinnesotaOklahoma State UniversityUtah State UniversityChinese Academy of SciencesPurdue UniversityIndian Institute of Science Education and Research MohaliYale University
KeywordsTundraCitationEcologyArcticCover (algebra)GeographyWorld Wide WebComputer scienceBiologyEngineering

Abstract

fetched live from OpenAlex

Front Cover: An arctic fox tracked with a solar-powered GPS collar in the tundra of Nunavut, Canada. This small territorial carnivore routinely travels extensive daily distances (equivalent to more than one marathon per day), thus demonstrating how terrestrial carnivores can use extreme mobile strategies when living in poor environments. Photo by Dominique Berteaux, Université du Québec à Rimouski.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.079
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9210.880

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 head0.206
Teacher spread0.201 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

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