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Record W7097089904

Vaccination with the ospA- and ospB-Negative Borrelia burgdorferi Strain 50772 Provides Significant Protection against Canine Lyme Disease

2016· article· en· W7097089904 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsBorrelia burgdorferiLyme diseaseSubclinical infectionVaccinationSpirochaetaceaeIxodesTickPolyarthritis
DOInot available

Abstract

fetched live from OpenAlex

Beagles received placebo or ospA- and ospB-negative Borrelia burgdorferi before a tick challenge. A total of 28 (41%) ticks and skin biopsy specimens from each control dog (n 10) contained B. burgdorferi. In contrast, 12 (19%) ticks recovered from the vaccine recipients (n 10) were infected (P 0.0077), and 5 dogs yielded spirochetes from the skin biopsy specimens (P 0.0325). In addition, 9 (90%) placebo recipients and 4 (40%) vaccine recipients developed joint abnormalities (P 0.0573). Therefore, vaccination with the ospA- and ospB-negative spirochete provided significant protection against Lyme disease. Lyme disease, due primarily in the United States to the trans-mission of Borrelia burgdorferi from infected Ixodes ticks, causes significant morbidity in canines. However, infected dogs rarely develop acute illness (1); instead, the illness manifests as chronic subclinical polyarthritis and/or periarteritis (2, 3) that may progress to frank arthritis (4, 5). In addition, Labrador re-trievers, golden retrievers, and Shetland sheepdogs appear more susceptible to kidney nephropathy (6). Canine vaccines that provide protection by inducing anti-OspA borreliacidal antibodies to kill B. burgdorferi in the midgut as the infected tick ingests blood (7, 8) have been commercially

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.207
Teacher spread0.198 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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