MétaCan
Menu
Back to cohort
Record W343368899

Anticoagulant rodenticide toxicity and secondary haemostatic disorder in a dog.

2014· article· en· W343368899 on OpenAlexaboutno aff
Ganesan Baranidharan, A.P. Nambi, S. Kavitha, P.S. Thirunavukkarasu, Praveen Sridhar, Hamsa Yamini, M. Shanmathy

Bibliographic record

Venueinternational journal of veterinary science · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBrodifacoumRodenticideMedicineMelenaPartial thromboplastin timeAnticoagulantAnesthesiaProthrombin timeSurgeryCoagulationToxicologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Received: Revised: Accepted: December 21, 2013 January 13, 2013 February 04, 2014 A four year old healthy male Labrador retriever was presented at the Emergency Critical Care Unit at Madras Veterinary College, Chennai with a haemostatic disorder due to anticoagulant rodenticide toxicity. Buccal Mucosal Bleeding Time (BMBT), Prothrombin time (PT) Activated Partial Thromboplastin Time (APTT) were severely increased. The recent use of an anticoagulant rodenticide containing brodifacoum by the neighbours was investigated. The dog exhibited signs of moaning, muscle twitching, mild seizures, severe distension of abdomen, epistaxis, hemoperitonium, hemoptyis, hematemesis and melena. The animal did not respond to Vitamin K doses and succumbed to severe bleeding due to the brodifacoum trigger causing severe secondary haemostatic disorder and death in spite of all emergency efforts to control bleeding.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueinternational journal of veterinary scienceSame topicAnimal Ecology and Behavior StudiesFrench-language works237,207