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Record W2129566863 · doi:10.5539/jas.v7n12p238

Comparative Uptake of Chlorantraniliprole and Flubendiamide in the Rice Plant

2015· article· en· W2129566863 on OpenAlexvenueno aff
Xiaojun Chen, Yajun Ren, Zhiyuan Meng, Chunliang Lu, Haotian Gu, Yiqing Zhuang

Bibliographic record

VenueJournal of Agricultural Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Residue Analysis and Safety
Canadian institutionsnot available
FundersNatural Science Foundation of Jiangsu ProvinceGovernment of Jiangsu Province
KeywordsRice plantAgronomyBiologyToxicology

Abstract

fetched live from OpenAlex

<p>Chlorantraniliprole and flubendiamide as novel commercial insecticides could control almost all economically important lepidopteran insects and a number of key pests in vegetables and rice. At present, no researches were focused on the comparative uptake<strong> </strong>of chlorantraniliprole and flubendiamide in protected rice plants. Uptake of chlorantraniliprole or flubendiamide was investigated through hydroponic experiment or foliar absorption experiments. The results indicated that chlorantraniliprole had uptake character in rice plants and could only transport upward in the rice plant while flubendiamide had no uptake character in rice plants.Their uptake characteristic are a factor in determining their actions and toxicology,enrichment parts of the protected rice plants, persistence, metabolic processes and residual dynamics in protected rice plants.</p>

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.085

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.254
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 teacher head, 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

Citations11
Published2015
Admission routes1
Has abstractyes

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