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Record W7098178683

THE EFFICACY OF ETHANEDINITRILE TO CONTROL WOOD RELATED INSECT PESTS

2015· article· en· W7098178683 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsQuarantineMontreal ProtocolConsumption (sociology)ChloropicrinCommodityCommodity chemicalsIntegrated pest management
DOInot available

Abstract

fetched live from OpenAlex

The use of fumigants is the economical and practical method to control stored grain pests, quarantine pests, soil borne pathogens and nematodes. For quarantine purpose, all perishable and durable commodity pests have been fumigated mainly with methyl bromide (MeBr). Under the Clean Air Act and Montreal Protocol on ozone depleting, the use of MeBr as soil fumigant (73 % of global MeBr consumption in 2000) is restricted and under scheduled phasing out by 2005 in developed counties and 2015 in developing counties, although there are exemptions for QPS (Quarantine and Pre-shipment) and CUE (Critical Use Exemption). Since MeBr phase out schedule, 72,967tonne of global consumption of MeBr including QPS decreased to 30,030t in 2005. This decrease is mainly due to MeBr alternatives in soil not in QPS. MeBr in QPS use is increasing (16,304t in 2005, approximately 8.7 % increase based on 1996) because of increasing of global trades and protection of agro-ecosystem in imported counties against quarantine pest. There are few chemical alternatives commercially available to control wood related pest. Sulfuryl fluoride (SF) is comparative to MeBr in terms of effectiveness and has been extensively studied

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.294
Teacher spread0.261 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2015
Admission routes1
Has abstractyes

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