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Record W3196115557 · doi:10.21423/aabppro20123887

Q fever update

2012· article· en· W3196115557 on OpenAlexaffabout
Paula Menzies

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCoxiella burnetiiAbortionZoonosisQ feverCase fatality rateDiseaseMedicineVaccinationTransmission (telecommunications)PregnancyBiologyEnvironmental healthVeterinary medicineImmunologyVirologyInternal medicinePopulation

Abstract

fetched live from OpenAlex

Infection in animals and humans from the bacterium Coxiella burnetii is responsible for significant disease risk. In sheep and goats it is an important cause of abortion, stillbirth, and neonatal weakness and mortality, although the organism may be present and shed in birth fluids, milk and feces without signs of disease. Infection in these species, as well as cattle, is widespread. Humans who work with infected ruminants are at risk of developing mild to severe disease, called Q fever. Chronic Q fever is particularly dangerous, with a high case fatality rate. Treatment with antimicrobials to control abortion or reduce bacterial shedding is unrewarding in sheep and goats. Vaccination has been shown to reduce abortions and degree of shedding, but currently no vaccine is licensed in the US or Canada. Measures to lower risk of infection in humans include lowering the level of contamination of the environment with the bacteria, understanding the signs in people so that treatment can be given promptly, and using protective wear to reduce exposure. This is an important zoonosis, and education of clients and service providers is a critical component of reducing the risk of Q fever.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.250
Teacher spread0.240 · 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.

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
Published2012
Admission routes2
Has abstractyes

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