MétaCan
Menu
Back to cohort
Record W2160385770 · doi:10.4039/tce.2012.46

Prevalence and seasonality of <i>Nosema</i> species in Québec honey bees

2012· article· en· W2160385770 on OpenAlexafffundabout
Tanya Copley, Huilan Chen, Pierre Giovenazzo, E. Houle, Suha Jabaji

Bibliographic record

VenueThe Canadian Entomologist · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsCentre de Recherche en Sciences Animales de DeschambaultUniversité LavalMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsApiaryNosema ceranaeBiologyHoney BeesHoney beeBeekeepingVeterinary medicineMicrosporidiaApidaeNosemaZoologySporeEcologyHymenopteraBotany

Abstract

fetched live from OpenAlex

Abstract Nosemosis is a disease of adult honey bees, Apis mellifera Linnaeus (Hymenoptera: Apidae), caused by two described species of Microsporidia: Nosema ceranae Fries and Nosema apis Zander. The epidemiology of N. apis is well understood; however, little is known about N. ceranae in Canadian apiaries. The following study aimed to determine the seasonal patterns of N. ceranae and N. apis in European honey bees in a Québec, Canada, apiary. Honey bees from six hives were sampled from 2008 to 2010 and the amount of spores quantified by both microscopic spore counts and duplex quantitative polymerase chain reaction (qPCR). Results demonstrated that duplex qPCR was the most sensitive technique and was able to detect N. ceranae in samples confirmed negative for microscopic spore counts and conventional polymerase chain reaction (PCR) detection. Results show that N. ceranae is the more prevalent parasite and was present in 75% of collections as single or mixed infections in the sampled apiary. The prevalence of N. apis was lower representing 29.7% throughout the 3 years of the study, and by 2010 was present only as mixed infections. Seasonal patterns of N. apis were consistent with previously published data with peaks in spring and autumn months, while N. ceranae peak infections varied throughout the 3-year study.

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 score0.090
Threshold uncertainty score0.688

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)0.0010.000

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 head0.042
GPT teacher head0.248
Teacher spread0.205 · 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

Citations29
Published2012
Admission routes3
Has abstractyes

Explore more

Same venueThe Canadian EntomologistSame topicInsect and Pesticide ResearchFrench-language works237,207