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Record W3134659743 · doi:10.1016/j.ssci.2021.105191

Response from the authors of the article “Critical review of the role of personal protective Equipment (PPE) in the prevention of risks related to agricultural pesticide use” to the letter to the editor from the European crop protection association (ECPA) Occupational and bystander exposure expert group (OBEEG)

2021· article· en· W3134659743 on OpenAlexaff
Alain Garrigou, C. Laurent, Isabelle Baldi, Aurélie Berthet, Claudio Colosio, Véronique Daubas-Letourneux, Louis Galey, Fabienne Goutille, José Marçal Jackson Filho, Nathalie Jas, Jean-Noël Jouzel, Nathalie Judon, Pierre Lebailly

Bibliographic record

VenueSafety Science · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Exposure and Toxicity
Canadian institutionsInstitut National de Santé Publique du Québec
Fundersnot available
KeywordsAgricultureOccupational safety and healthRelevance (law)Personal protective equipmentEnvironmental healthPesticidePoison controlHuman factors and ergonomicsInjury preventionBusinessEngineeringMedicinePolitical scienceLawGeographyCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

In March 2020, Safety Science published the article “Critical review of the role of PPE in the prevention of risks related to agricultural pesticide use” by an international group of researchers working for public research organisations. An expert group from an association representing the interests of the agricultural pesticide industry at European level (the European Crop Protection Association -ECPA-) then published a letter challenging the relevance of the discussion and the conclusions of this article. The authors of the review have decided to use their right to reply.

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)0.010
metaresearch head score (Gemma)0.092
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 score0.030
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.092
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0030.002
Research integrity0.0300.031
Insufficient payload (model declined to judge)0.0050.006

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 head0.030
GPT teacher head0.273
Teacher spread0.243 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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