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Record W1773364047 · doi:10.22230/jem.2010v11n3a46

Moose (Alces alces) Wildlife Habitat Decision Aid

2011· article· en· W1773364047 on OpenAlexaff
Wayne B. Wall, Myriam Belisle, Lindsay A. Luke

Bibliographic record

VenueJournal of Ecosystems and Management · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsGrieg Seafood (Canada)
FundersMinistry of Environment
KeywordsHabitatWildlifeRiparian zoneGeographyWildlife conservationWildlife managementEcologyCritical habitatEnvironmental resource managementWildlife corridorWetlandHabitat conservationResource (disambiguation)Forest managementAgroforestryEnvironmental scienceEndangered speciesForestryBiology

Abstract

fetched live from OpenAlex

In British Columbia, specific amounts of habitats critical for the winter survival of moose are maintained under the Forest Planning and Practices Regulation (FPPR) and protected under the Government Actions Regulation (GAR). Key habitat elements such as mineral licks and significant wallows, can be protected as a practice requirement under the FPPR as Wildlife Habitat Features. Other seasonal habitat elements, such as buffers on wetlands and riparian reserve areas receive limited protection under these statutes and are protected to varying degrees across the range of the species. A number of land use plans have made recommendations for maintenance of moose habitat. A complete list of these plans can be found at http://ilmb.gov.bc.ca/category/subject-area/strategic-land-use-planning . This Wildlife Habitat Decision Aid (WHDA) summarizes key seasonal habitat elements and provides information for land and resource managers to consider when addressing the seasonal habitat requirements for moose in managed forest areas.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.118
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0480.008

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 head0.014
GPT teacher head0.207
Teacher spread0.192 · 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 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

Citations1
Published2011
Admission routes1
Has abstractyes

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