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Record W1992949029 · doi:10.3390/ijerph8124649

Environmental Impacts from Pesticide Use: A Case Study of Soil Fumigation in Florida Tomato Production

2011· article· en· W1992949029 on OpenAlexaboutno aff
Doris N. Sande, Jeffrey D. Mullen, Michael E. Wetzstein, Jack E. Houston

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsnot available
FundersUniversity of GeorgiaU.S. Department of Agriculture
KeywordsFumigationPesticideFish <Actinopterygii>Environmental scienceToxicologyBiologyEcologyFishery

Abstract

fetched live from OpenAlex

The search for alternative fumigants has been ongoing since the 1992 Parties of the Montreal Protocol classified methyl bromide as a Class I controlled substance with an ozone depletion potential (ODP) of 0.7 and destined it for phase-out. This paper focuses on the hazards from fumigants proposed as alternatives for pre-plant soil fumigation in tomato production. We use the Environmental Impact Quotient (EIQ) developed by Kovach et al. to estimate the hazards from methyl bromide and the proposed alternative fumigants to workers, consumers, beneficial arthropods, birds, fish, and bees. Our findings indicate that iodomethane 98/2 has the lowest EIQ index value and field use rating, and is the alternative with the lowest relative risk. Among environmental categories, workers and beneficial arthropods experience the highest relative risks from the proposed tomato fumigants, and fish and consumers the least risks.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.117
GPT teacher head0.328
Teacher spread0.211 · 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 designObservational
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

Citations101
Published2011
Admission routes1
Has abstractyes

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Same venueInternational Journal of Environmental Research and Public HealthSame topicInsect Pest Control StrategiesFrench-language works237,207