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Record W2765554565 · doi:10.1038/emi.2017.85

Lack of evidence for Zika virus transmission by <i>Culex</i> mosquitoes

2017· letter· en· W2765554565 on OpenAlexaff
Christopher M. Roundy, Sasha R. Azar, Aaron C. Brault, Gregory D. Ebel, Anna‐Bella Failloux, Ildefonso Fernández‐Salas, Uriel Kitron, Laura D. Kramer, Ricardo Lourenço‐de‐Oliveira, Jorge E. Osorio, Igor A. D. Paploski, Gonzalo M. Vazquez‐Prokopec, Guilherme S. Ribeiro, Scott A. Ritchie, Laura B. Tauro, Nikos Vasilakis, Scott C. Weaver

Bibliographic record

VenueEmerging Microbes & Infections · 2017
Typeletter
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsInstitute of Infection and Immunity
FundersNational Institute of Allergy and Infectious Diseases
KeywordsZika virusVirologyTransmission (telecommunications)CulexBiologyAedesEnvironmental healthMedicineVirusDengue feverEcologyComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Emerging Microbes & Infections (2017) 6, e90; doi:10.1038/emi.2017.85; published online 18 October 2017

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)0.001
metaresearch head score (Gemma)0.012
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0150.008
Insufficient payload (model declined to judge)0.0050.005

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 head0.101
GPT teacher head0.386
Teacher spread0.285 · 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
GenreCommentary

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

Citations26
Published2017
Admission routes1
Has abstractyes

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