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Record W2357328777

Determination and Change During Storage of Azoxystrobin Residue Levels in Muskmelon and Apple after a Dip Treatment

2005· article· en· W2357328777 on OpenAlexaboutno aff
Bo Hai

Bibliographic record

VenuePesticides · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Residue Analysis and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsResidue (chemistry)PostharvestChemistryAzoxystrobinPesticide residueDetection limitMelonNitrogenGas chromatographyChromatographyHorticultureAgronomyPesticideFungicideBiologyOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

To study the indication of the effectiveness, residue uptake, and persistence of when stored at room tempera- ture or at 0℃~4℃ in the management of postharvest decay in apple and melon. The residue levels in apple and muskmelon treated with azoxystrobin were studied by extraction with ethyl acetate/cyclohexane and determination by gas chromatography (GC) with nitrogen/ phosphorous (NP-) detection. The recoveries were in the range of 85% ~104% from fortified samples, and the limit of detection (LODs) was 0.001mg/kg. The residue levels in both fruit was below 0.1mg/kg, which was much lower than the tolerance level fixed for tomato (0.2mg/kg) in the United States and for peaches (0.8mg/kg) in Canada. The residue levels showed less during storage at low temperature. The residue levels reduced slowly along with the storage time. In peel the residue levels were higher than that in pulp.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.028
GPT teacher head0.241
Teacher spread0.214 · 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
Published2005
Admission routes1
Has abstractyes

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