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Record W2389859684

Clinical Investigation and Blood Leukocyte Monitoring on Canine Parvovirus Infection in Dogs

2011· article· en· W2389859684 on OpenAlexaboutno aff
Guoshi Zhang

Bibliographic record

VenueProgress in Veterinary Medicine · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsCanine parvovirusMedicineBlood smearParvovirusEnteritisInfection rateMyocarditisLabrador RetrieverInternal medicineImmunologyPathologySurgeryVirus
DOInot available

Abstract

fetched live from OpenAlex

In order to provide scientific basis for the control of canine parvovirus infection,the clinical Investigation and blood leukocyte monitoring on the infection dogs was carried out from March 2009 to February 2010 in Xian small animal clinic,Northwest AF university.CPV infection could happen all the year round,in late autumn、 winter and spring multiple.The most number of infection cases were the weaning dogs at the age of 7 weeks to 6 months.Seen more of infected dog breeds included of Poodle,Tibetan mastiff,German shepherd,Rottweiler,Samoyed,Golden retriever,Pomeranian,Huskies.The main type of clinical symptoms was enteritis,accounting for 91.4%,myocarditis type 8.6%.For 70 cases CPV infection dogs taked comprehensive treatment,the cure rate 81.42%.Blood leukocyte count of CPV infection Dogs presented a clear deweose tendency.Leukocyte lower,and the more serious infectious diseases,the poorer prognosis.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.120
GPT teacher head0.402
Teacher spread0.283 · 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
Published2011
Admission routes1
Has abstractyes

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