MétaCan
Menu
Back to cohort
Record W4413363059 · doi:10.1002/vrc2.70183

Clinical and pathological findings in giraffes ( <i>Giraffa camelopardalis</i> ) with arterial thrombotic disease

2025· article· en· W4413363059 on OpenAlexaff
Pierre Huberdeau, Benjamin Lamglait, Sylvie Laidebeure, Pierre Hélie, Shannon T. Ferrell, Marion Desmarchelier, Émilie L. Couture, Alexis Lécu

Bibliographic record

VenueVeterinary Record Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicInfrared Thermography in Medicine
Canadian institutionsStedfast (Canada)Cegep de Saint Hyacinthe
Fundersnot available
KeywordsMedicinePathologicalDiseaseAtherosclerotic cardiovascular diseaseArterial diseaseCardiologyInternal medicineVascular disease

Abstract

fetched live from OpenAlex

Abstract Two adult female giraffes ( Giraffa camelopardalis ) from separate facilities were diagnosed with arterial thrombotic disease. The first giraffe presented with acute severe unilateral hindlimb paralysis. Infrared thermography revealed a marked temperature decrease compared to the contralateral limb starting from the mid‐thigh region, indicative of femoral artery thrombosis or thromboembolism. Despite attempted anticoagulant therapy and supportive care, the giraffe did not survive. The second giraffe showed no antemortem clinical signs of arterial thrombotic disease, but was diagnosed with partially occluding iliac artery thrombosis at the postmortem examination. The aetiology of the thrombi in both cases remains undetermined, although altered arterial haemodynamics due to underlying conditions are the suspected contributors. These cases highlight that arterial thrombotic disease can occur in captive giraffes. Managing this condition presents unique challenges due to the species' anatomical, physiological and behavioural characteristics. Special attention should be given to the aorta and its main embranchments during postmortem examinations, when the cases are subclinical.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.328
Teacher spread0.301 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueVeterinary Record Case ReportsSame topicInfrared Thermography in MedicineFrench-language works237,207