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Record W2581983840 · doi:10.1111/epp.12355

Harmonizing the regulation of invertebrate biological control agents in the EPPO region: using the NAPPO region as a model

2017· article· en· W2581983840 on OpenAlexaff
Peter G. Mason, M.J. Everatt, A.J.M. Loomans, Jana Collatz

Bibliographic record

VenueEPPO Bulletin · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiological Control of Invasive Species
Canadian institutionsAgriculture and Agri-Food Canada
FundersEuropean Commission
KeywordsPhytosanitary certificationProcess (computing)BusinessControl (management)Member statesEnvironmental protectionEnvironmental resource managementEnvironmental planningInternational tradeComputer scienceGeographyEconomic growthEnvironmental scienceEconomicsEuropean union

Abstract

fetched live from OpenAlex

Harmonized regulation of invertebrate biological control agents (IBCAs) is a major challenge for the 51 countries of the European and Mediterranean Plant Protection Organization (EPPO). Although some of these member countries in the EPPO region have well‐defined regulations and follow a common approach, others do not. The North American Plant Protection Organization (NAPPO) has achieved a common approach in North America through the development of Regional Standards for Phytosanitary Measures specific to IBCAs that outline the information required for submission of a request to release an agent. NAPPO has also developed a process to ensure that submissions are reviewed by experts and regulatory officials in all three member countries. It is proposed that EPPO takes advantage of the experience of NAPPO in developing a harmonized approach for regulating IBCAs.

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)0.008
metaresearch head score (Gemma)0.005
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: Other · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.222
GPT teacher head0.275
Teacher spread0.054 · 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
GenreOther

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

Citations22
Published2017
Admission routes1
Has abstractyes

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