Environmental Management Strategies for Biodegradable Nonylphenol Ethoxylates in Agricultural Products
Bibliographic record
Abstract
Nonylphenol ethoxylates (NPEs) are surfactants used as inert ingredients in pesticides and spray adjuvants. NPEs and their biodegradation intermediates [low mole ethoxylates and ether carboxylates (NPEC)] enter the terrestrial and, to a lesser extent, the aquatic environments through these uses. Nonylphenol (NP) is the basic building block of NPEs and can be a minor biodegradate. Responding to proposed water quality limits in the United States and Canada, the Alkylphenols & Ethoxylates Research Council initiated the NPE Environmental Management Program (EMP). The program, discussed in this paper, includes the development of voluntary, risk-based water quality levels for NPE, NP, and NPEC, and monitoring of waterways to determine whether water quality guidelines are being met; it also provides technical expertise to determine appropriate control methods. The approaches used in the EMP are applicable for most organic compounds and should be an integral component of best management practices.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".