Pesticide Use in Rice with Emphasis on BPH and Residue Implications in Rice Grain Trade
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When BPH attacks rice crop during flowering and grain hardening stage, it necessitates a pesticide application. That application(s) is likely to lead pesticide residues in grain. Such residue can be harmful to the health of the consumer or can become a cause of rejection of the grain when exported to foreign countries. Hence it is essential to have understanding about the residues of various pesticides recommended against BPH (and/or other pests) with regard to their residue implications. This paper describes briefly the analytical procedures for some important insecticides recommended and used against BPH like buprofezin, ethofenprox, thiamethoxam, chlorantraniliprole, Imidacloprid, pymetrozine, cyantraniliprole, fipronil and denotefuran, in different rice growing countries with special reference to their implications in international rice trade. However, it is painful to admit that there are no analytical methods available in literature for ethiprole and sulfoxaflor residue analysis in rice grain.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 it