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Record W4411106369 · doi:10.1111/csp2.70075

Successful first rehabilitation and release of an endangered <scp>Ethiopian</scp> wolf

2025· article· en· W4411106369 on OpenAlexaff
Sandra Lai, Getachew Asefa, Muktar Abute, Girma Eshete, Don‐Jean Léandri‐Breton, Fekede Regassa, Claudio Sillero‐Zubiri, Jorgelina Mariño

Bibliographic record

VenueConservation Science and Practice · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsMcGill University
Fundersnot available
KeywordsEndangered speciesEcologyBiologyHabitat

Abstract

fetched live from OpenAlex

Abstract Wildlife rehabilitation is widely practiced to help injured animals recover and return to the wild, particularly benefiting endangered species that have small local populations. Here, we report the first case of a rehabilitated Ethiopian wolf that was successfully released back in the Simien Mountains. Through this case study, we documented the clinical treatment provided, recovery, and behavior of this individual during captivity, and post‐release monitoring in the wild using a GPS collar. After 51 days of captivity, during which a bone fracture in the hind leg caused by a gunshot was treated, the wolf was released back. After remaining with his pack members for 22 days, the wolf dispersed and settled in an unoccupied territory, where he paired with a female and successfully sired a litter. This study provides important insights on rehabilitation and post‐release monitoring that will inform conservation management of the Ethiopian wolf.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.281
Teacher spread0.267 · 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 designCase report
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

Citations0
Published2025
Admission routes1
Has abstractyes

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