Determination of thiencarbazone-methyl and cyprosulfamide residues in corn grain and corn green mass
Bibliographic record
Abstract
Distribution of thiencarbazone-methyl and cyprosulfamide between chloroform and aqueous buffer solutions at pH=3-12 was studied at 20+/-1 deg C in the conditions of the Republic of Belarus. Based on the obtained experimental data, the extraction sample preparation method was developed for the determination of thiencarbazone-metnyl and cyprosulfamide in maize (Zea mays) grain and green mass by high performance liquid chromatography. The sample preparation method provides obtaining chromathograms without peaks, interfering with the peaks of determining substances. The proposed technique required limited number of chemical agents and takes approximately 3-4 hours. The recoveries of thiencarbazone-methyl and cyprosulfamide from plant matrices are between 72 and 88%. The method makes it possible to determine thiencarbazone-methyl and cyprosulfamide at concentrations of equal or lower the maximum residue limit for corn in European Union countries, the USA and Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".