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Record W3088585382

Cobra snake bite in a Labrador pup and its successful treatment

2020· article· en· W3088585382 on OpenAlexaboutno aff
Kanwarpal Singh Dhillon, Simran Jot Kaur, Sagar Ranjan

Bibliographic record

VenueJournal of Entomology and Zoology Studies · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVenomous Animal Envenomation and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCobraEnvenomationPuppyMedicineLeukocytosisEmbalmingVeterinary medicineSurgeryBiologyVenomAnatomy
DOInot available

Abstract

fetched live from OpenAlex

A six months old male Labrador pup was brought to the Veterinary Clinical Complex, Khalsa College of Veterinary and Animal Sciences, Amritsar with the history of snake bite, salivation, vomiting, dullness, dyspnea, abnormal gait, recumbency and edematous face. Pet owner brought the dead snake and identified it as Cobra. Fang marks noticed on the tip of nose and blood oozing from these marks. Hematology and biochemical investigation revealed neutrophilic leukocytosis with increased ALT level. Based on history and observation, the present case was confirmed as Cobra envenomation in a Labrador puppy. The pup was treated with polyvalent anti-snake venom along with tetanus toxoid, atropine sulphate, corticosteroids, antibiotics and fluid therapy. Area around the fang marks was dressed with povidine iodine. The pup had uneventful recovery from venom envenomation.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.037
GPT teacher head0.303
Teacher spread0.266 · 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
Published2020
Admission routes1
Has abstractyes

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