MétaCan
Menu
Back to cohort
Record W2417656158 · doi:10.1080/08898480.2013.836426

Multiseason transmission for Rift Valley fever in North America

2016· article· en· W2417656158 on OpenAlexaff
Rachelle E. Miron, Gaël A. Giordano, Alison Kealey, Robert J. Smith

Bibliographic record

VenueMathematical Population Studies · 2016
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsQueen's UniversityUniversity of Ottawa
Fundersnot available
KeywordsRift Valley feverOutbreakGeographyPopulationRift valleyVector (molecular biology)LivestockTransmission (telecommunications)FisheryVirologyBiologyEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Rift Valley fever is a vector-borne disease, primarly found in West Africa, that is transmitted to humans and domestic livestock. Its similarities to the West Nile virus suggest that establishment in the developed world may be possible. Rift Valley fever has the potential to invade North America, where seasons play a role in disease persistence. The values for the basic reproductive number show that, in order to eradicate the disease, the survival time of mosquitoes must decrease below 8.67 days. Mechanisms such as aggressive spraying that decreases the mosquito population can contain an outbreak. Otherwise, Rift Valley fever is likely to establish itself as a recurring seasonal outbreak. Rift Valley fever poses a potential threat to North America that would require aggressive interventions in order to prevent a recurring seasonal outbreak.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.035

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)0.0030.000

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 head0.070
GPT teacher head0.371
Teacher spread0.300 · 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 designSimulation or modeling
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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueMathematical Population StudiesSame topicViral Infections and VectorsFrench-language works237,207