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Record W3160602185 · doi:10.1016/j.meegid.2021.104916

Ecology, evolution, and epidemiology of zoonotic and vector-borne infectious diseases in French Guiana: Transdisciplinarity does matter to tackle new emerging threats

2021· review· en· W3160602185 on OpenAlexaff
Benoı̂t de Thoisy, Olivier Duron, Loïc Epelboin, L. Musset, P. Quénel, Benjamín Roche, Florian Binetruy, Sébastien Briolant, Luisiane Carvalho, Agathe Chavy, Pierre Couppié, Magalie Demar, Maylis Douine, Yanouk Epelboin, Claude Flamand, Alain Franc, Marine Ginouvès, Sébastien Gourbière, Emeline Houël, Arthur Kocher, Anne Lavergne, Paul Le Turnier, Luana Mathieu, Jérôme Murienne, Mathieu Nacher, Stéphane Pelleau, Ghislaine Prévot, Dominique Rousset, Emmanuel Roux, Roxane Schaub, Stanislas Talaga, P. Thill, Sourakhata Tirera, Jean‐François Guégan

Bibliographic record

VenueInfection Genetics and Evolution · 2021
Typereview
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsHotel Dieu Hospital
FundersNational Institutes of HealthOffice Français de la BiodiversitéInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementUniversité de MontpellierCentre National d’Etudes SpatialesAgence Nationale de la RechercheInstitut de Recherche pour le DéveloppementNational Sleep FoundationEuropean Regional Development FundEuropean CommissionBill and Melinda Gates FoundationFondation Air LiquideNational Science Foundation
KeywordsWildlifeGeographyEcologyOutbreakClimate changeBiodiversityEnvironmental protectionBiology

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 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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.034
GPT teacher head0.360
Teacher spread0.326 · 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
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

Citations39
Published2021
Admission routes1
Has abstractno

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