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Record W7062679351

VTH (Veterinary Teaching Hospital), AVC (Atlantic Veterinary College), Prince Edward Island (PEI), Canada: an overview of eighteen years of parasitology traffic.

2018· article· en· W7062679351 on OpenAlexaboutno aff

Bibliographic record

VenueArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsVeterinary parasitologyParasitologyPopulationLivestockStatistical analysisAnimal healthTransmission (telecommunications)
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION. The Atlantic Veterinary College (AVC) is the only veterinary medicine faculty in Atlantic Canada. AVC was born in 1986 and also has a state-of-the-art teaching hospital. The parasitology diagnostic laboratory started a user-friendly data system that goes from January, 2000 to November, 2017. Really few surveys are present in literature like that (Raue et al., 2011, Parasitol. Res. 116:3315–3330). MATERIALS AND METHODS. The objective of this study was to summarize the parasitology laboratory exam results. Descriptive analysis was carried out with the Stata statistical software package, version 15.1. RESULTS AND CONCLUSIONS. A total of 35,513 samples were tested, belonging to exotic animals, wildlife, livestock and pets mostly from the eastern and Atlantic provinces of Canada. There was a mean of 1972.94 samples (525.05 SD) per year, and the range showed a minimum of 1365 and a maximum of 2954 per year. There were eight performed tests including: Baermann technique, Direct Smear, Egg counts, Sedimentation and Fecal flotation, Canine Heartworm Antigen Test, Neospora caninum Antibody Test, and Skin scraping. The kinds of specimens tested were feces, blood samples, sera and skin. The animal species represented in our study population were: dogs (19,570), bovine (4,797), cats (3,358), sheep (3,051), horses (2,312) and other (1,114), such as birds, foxes, goats, lynx, pigs and raccoons. Overall, out of 35,513 samples, 10,026 (28.2%) were positive for parasites. Protozoa were in 4068 (40.5%) of the 10,026 samples. Gastro-Intestinal Nematodes were found in 3658 samples (36%). Trichostrongyle eggs occupied approximately a third of the samples (40.9/). Cestoda were in 306 (3%) samples, of which Moniezia spp. played the greatest role (55.9%). Lungworms and Capillaridae were in 598 (6%) and 178 (2%) samples, respectively, where the most common species recovered was Crenosoma vulpis. Ascarididae were present in 803 (8%) samples, of which Toxocara spp. was the most frequent. Trematoda were found in 44 (0.43%) specimens. Mites were recovered in 28 of 97 (28.9%) skin scraping, and ten of those were identified as Demodex spp. Interesting results were 33 Alaria spp. cases, three in foxes and thirty in dogs. Also interesting was the detection of 21 cases of cardiopulmonary dirofilariosis in dog. Increasing surveillance of this vector-borne disease agent would be important as the climate, vector range, and habitat continues to change throughout Canada.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.008
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.004

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 head0.017
GPT teacher head0.248
Teacher spread0.230 · 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".

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Citations0
Published2018
Admission routes1
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