MétaCan
Menu
Back to cohort
Record W3015081857 · doi:10.20546/ijcmas.2020.902.202

Molecular Occurrence and Therapeutic Management of Canine Parvovirus Infection in Dogs

2020· article· en· W3015081857 on OpenAlexaboutno aff
D. Kataria, D. Agnihotri, V. K. Jain, Gaurav Charaya, Yadvinder Singh

Bibliographic record

VenueInternational Journal of Current Microbiology and Applied Sciences · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsCanine parvovirusFecesBreedParvovirusMedicineVaccinationVeterinary medicineBiologyVirologyVirusAnimal scienceMicrobiology

Abstract

fetched live from OpenAlex

CPV infection is considered as the most pathogenic and contagious infection of dogs causing haemorrhagic gastroenteritis. Molecular detection using PCR is used widely for detection and confirmation of CPV infection in dogs. Present study was conducted to detect CPV in the faeces of dogs showing clinical signs of hemorrhagic gastroenteritis. A total of 52 dogs suffering from gastroenteritis were screened for the study, out of which 31 dogs were found to be affected with CPV infection. The occurrence of CPV infection was more in male (58.06 than female (41.94%) dogs. Labrador and non-descriptive breed dogs were found to have 22.59 percent occurrence each followed by GSD (19.36%) and Rottweiler (12.90%). Dogs with uneven history of vaccination were found to be affected more (64.52%) than dogs with history of proper vaccination. Maximum no. of dogs affected were from age group less than one year (93.55%) out of which most of the dogs were of less than 6 months age (67.74%). Suffering dogs were divided into random groups and administered with antibiotics, antioxidants and supportive therapy.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.217

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 head0.030
GPT teacher head0.335
Teacher spread0.304 · 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 designBench or experimental
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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Current Microbiology and Applied SciencesSame topicVirus-based gene therapy researchFrench-language works237,207