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Record W4400833461 · doi:10.30954/2277-940x.01.2024.13

Hospital based Incidence of Bordetella bronchiseptica in Canines in Mizoram

2024· article· en· W4400833461 on OpenAlexaboutno aff
Rose Kh. Thanila

Bibliographic record

VenueJournal of animal research · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsnot available
Fundersnot available
KeywordsBordetella bronchisepticaIncidence (geometry)Veterinary medicineMedicineBiologyMathematicsBacteria

Abstract

fetched live from OpenAlex

Bordetella bronchiseptica is one of the major pathogens affecting canine respiratory tract.The study was conducted in Veterinary Clinical Complex of the college involving a total population of 618 canines.After initial screening with clinical score study, 113 animals were selected based on the presence of respiratory tract symptoms.These animals were subjected to detailed study with culture and isolation, haemato-biochemical study, 12 animals were found to be affected with Bordetella bronchiseptica.The hospital based incidence of Bordetella bronchiseptica infections in dog was found to be 1.94% and the hospital based incidence of canine respiratory tract infection was 18.2% in Aizawl, Mizoram.The infection was more reported in dogs below 1 year of age (3.62%), more in males (2.11%), more in Labrador breed of dog (7.14%).Coughing (83.33%) was the predominant symptom observed in B. bronchiseptica infection in dogs. HIGHLIGHTSm First reported study of Bordetella bronchiseptica in canines in Mizoram m Coughing (83.33%) is the predominant syptoms in B. bronchiseptica infection.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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

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 head0.038
GPT teacher head0.389
Teacher spread0.351 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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