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Record W2102969900 · doi:10.3896/ibra.1.52.4.20

Standard methods for tracheal mite research

2013· article· en· W2102969900 on OpenAlexaff
Diana Sammataro, Lilia de Guzman, Sherly George, R. Ochoa, Gard W. Otis

Bibliographic record

VenueJournal of Apicultural Research · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyMiteHoney beeAcariObligateInfestationHoney BeesZoologyEcologyBotany

Abstract

fetched live from OpenAlex

SummaryThe honey bee tracheal mite (HBTM) Acarapis woodi (Rennie) (Acari: Tarsonemidae) is an obligate endoparasite of honey bees. First described from the Western (European) honey bee Apis mellifera L., this mite species was initially observed when honey bee colonies on the Isle of Wight, UK were dying between 1904 and 1919 (Rennie, 1921). Since then, this mite has been found in Europe, North and South America and parts of Asia, but its global distribution is not well understood. In this chapter, we outline protocols for collecting, detecting, identifying, diagnosing and measuring the infestation rates of A. woodi. We also describe methods to determine the damage threshold, outline several control measures, and describe methods for studying live mites.

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)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.128
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0120.006
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0050.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.1280.121

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 head0.377
GPT teacher head0.562
Teacher spread0.185 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations57
Published2013
Admission routes1
Has abstractyes

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