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Record W2099198374 · doi:10.4269/ajtmh.2005.73.744

FINDING NEEDLES IN THE HAYSTACK: SINGLE COPY MICROSATELLITE LOCI FOR AEDES JAPONICUS (DIPTERA: CULICIDAE)

2005· article· en· W2099198374 on OpenAlexaboutno aff
ANDREA K. WIDDEL, Linda J. Mccuiston, W. J. Crans, Laura D. Kramer, Dina M. Fonseca

Bibliographic record

VenueAmerican Journal of Tropical Medicine and Hygiene · 2005
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious Diseases
KeywordsMicrosatelliteBiologySubspeciesAedesAedes aegyptiZoologyGenusGeneticsEcologyLarvaGeneAllele

Abstract

fetched live from OpenAlex

First identified in three North American states in 1998, Aedes japonicus japonicus, the Asian bush mosquito, has since spread to 21 states, plus Ontario in Canada, northern France, and Belgium. Analyses of the introduction and expansion of this potentially deadly disease vector will be radically improved by including powerful genetic markers like microsatellites. Useful microsatellite loci have, however, been difficult to identify for mosquitoes in the genus Aedes because of the high amount of repetitive DNA in these species. We isolated single-copy DNA from Ae. j. japonicus and then used a standard enrichment method to identify regions containing microsatellites. Here we describe seven polymorphic microsatellite loci that were tested in American populations of Ae. j. japonicus. These loci were also found to be polymorphic in two other of the four Ae. japonicus subspecies and in Aedes koreicus.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.302
Teacher spread0.279 · 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

Citations34
Published2005
Admission routes1
Has abstractyes

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