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Record W4392682655 · doi:10.1016/bs.apar.2024.02.003

An update and review of arthropod vector sensory systems: Potential targets for behavioural manipulation by parasites and other disease agents

2024· review· en· W4392682655 on OpenAlexafffund
Jean‐François Doherty, Tahnee Ames, Leisl Imani Brewster, Jonathan Chiang, Elsa Cyr, C. Kelsey, Phillip Lee, B. Liu, Ivan Hok Yin Lo, Gurleen K. Nirwal, Yunusa Garba Mohammed, Orna Phelan, Parsa Seyfourian, Danica Marie Shannon, Nicholas Kristoff Tochor, Benjamin J. Matthews

Bibliographic record

VenueAdvances in Parasitology/Advances in parasitology · 2024
Typereview
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsUniversity of British Columbia
FundersBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchUniversity of British ColumbiaMichael Smith Health Research BCCanada Foundation for InnovationAlfred P. Sloan Foundation
KeywordsHost (biology)BiologyVector (molecular biology)ArthropodTransmission (telecommunications)Sensory systemCRISPRDiseaseEcologyEvolutionary ecologyEvolutionary biologyNeuroscienceComputer scienceGeneGeneticsMedicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.850
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.420
Teacher spread0.395 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2024
Admission routes2
Has abstractno

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