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Record W2792224113 · doi:10.2987/17-6690.1

First Record of Aedes japonicus japonicus in Oklahoma, 2017

2018· article· en· W2792224113 on OpenAlexaboutno aff
David L. Bradt, Lisa Coburn, Kristy Bradley, Bruce H. Noden

Bibliographic record

VenueJournal of the American Mosquito Control Association · 2018
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
FundersCenters for Disease Control and Prevention
KeywordsBiologyArbovirusLarvaVector (molecular biology)AedesAedes albopictusCulexZoologySpring (device)EcologyAedes aegyptiVirologyVirus

Abstract

fetched live from OpenAlex

ABSTRACT In spring 2017, mosquito larvae were collected from 25 sites across eastern Oklahoma as part of a Zika virus vector surveillance effort. Aedes japonicus japonicus larvae were collected from horse troughs at 2 sites in Ottawa County, OK. Identification was made using 1 larva stored in 70% ethanol and 3 adult females reared from the larvae. Another invasive mosquito species, Culex coronator , was detected at 2 different sites, adding 2 additional counties to the 9 where the species had been previously reported. The presence of these invasive species in Oklahoma may have an impact on future regional arbovirus concerns.

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)0.002
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 score0.054
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.006
GPT teacher head0.260
Teacher spread0.253 · 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

Citations17
Published2018
Admission routes1
Has abstractyes

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