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Record W6986644658

The prevalence of blood-borne bacterial infections in domestic cats in Ontario

2007· dissertation· en· W6986644658 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2007
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicBartonella species infections research
Canadian institutionsnot available
Fundersnot available
KeywordsCATSPrevalenceEpidemiologyPolymerase chain reactionBlood culture
DOInot available

Abstract

fetched live from OpenAlex

The main objective of this study was to determine the prevalence of ' Bartonella' spp. and hemoplasma infection in healthy pet cats in Ontario. Blood samples collected from July 2006 to March 2007, were tested for ' Bartonella' spp. by PCR (646 samples) and by blood culture (896 samples, April 2006 to March 2007), and by PCR for diagnosis of hemoplasma (742 samples). The overall prevalence of 'Bartonella' spp. and hemoplasma was 4.3% (3.7% 'Bartonella henselae,' 0.6% 'Bartonella clarridgeiae') and 4% (3.3% 'Mycoplasma hemominutum,' 0.7% 'Mycoplasma hemofelis'), repectively. The presence of ' M. turicensis,' was identified by PCR amplification and sequencing, for the first time in North America. The other goal of the study was to investigate the presence of ' Rickettsia felis' in cat fleas in Ontario. A pool of one to five fleas from 50 infested cats were collected and used for PCR. The presence of ' R. felis' was confirmed in 9 of 50 samples.

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 score0.167
Threshold uncertainty score0.336

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 studies0.0010.000
Scholarly communication0.0010.000
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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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