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Record W7096122975

DEPARTMENT OF MEDICAL GENETICS, UNIVERSITY OF ALBERTA,

2003· article· en· W7096122975 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldVeterinary
TopicBrucella: diagnosis, epidemiology, treatment
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeHerdGenetic resourcesGenetic diversityGovernment (linguistics)Wildlife managementWildlife conservation
DOInot available

Abstract

fetched live from OpenAlex

In this report we review issues in conservation genetics, which pertain directly to genetic management and captive breeding of wildlife. Our goal is to evaluate genetic management options for the Hook Lake Wood Bison Recovery Project (HLWBR), a community-based wildlife conservation project that was initiated in 1996 and is run co-operatively between the Government of the Northwest Territories (NWT), the Aboriginal Wildlife Harvesters ’ Committee (AWHC) and Deninu Kue ’ First Nation in Fort Resolution. A principal aim of the project is to salvage genetic diversity from the Hook Lake herd, a wild, free-ranging herd of wood bison in the Slave River Lowlands that is diseased with bovine tuberculosis (Mycobacterium bovis) and brucellosis (Brucella abortus). The long-term goal of the co-operative project is to use a captive, disease-free herd to re-establish a healthy herd of free-ranging bison in the Hook Lake area. The current phase of the project, genetic salvage and captive-breeding, is based on a combination of techniques to propagate a healthy captive herd. From 1996 to 1998, a total of 62

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.732
Threshold uncertainty score0.896

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2680.071

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 head0.061
GPT teacher head0.323
Teacher spread0.262 · 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.

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
Published2003
Admission routes1
Has abstractyes

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