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Record W4246269658 · doi:10.2903/sp.efsa.2020.en-1835

Outcome of the public consultation on the draft scientific report on the cumulative dietary risk characterisation of pesticides that have acute effects on the nervous system

2020· article· en· W4246269658 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEFSA Supporting Publications · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural safety and regulations
Canadian institutionsnot available
FundersWageningen University and ResearchHealth CanadaU.S. Environmental Protection Agency
KeywordsRisk assessmentBusinessEnvironmental healthFood safetyPolitical sciencePublic relationsMedicineAccountingManagementPathologyEconomics

Abstract

fetched live from OpenAlex

The European Food Safety Authority (EFSA) carried out a public consultation to receive input from interested parties on its draft scientific report on the cumulative dietary risk characterisation of pesticides that have acute effects on the nervous system. The document describes the process and the outcome of a risk assessment and an uncertainty analysis regarding the cumulative effects of pesticide residues on acetylcholinesterase and the motor division of the nervous system. The web‐based public consultation took place from 17 September to 15 November 2019. EFSA received comments from 17 parties including academia, national agencies, non‐governmental organisations and private bodies. This report lists the individual comments received and explains in detail how they were taken into account during the finalisation process of the scientific report. EFSA wishes to thank all the commenters for their valuable contributions.

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.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.066
GPT teacher head0.266
Teacher spread0.200 · 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