Using poly(acrylamide‐co‐lauric acid) to remediate oil spills on water
Bibliographic record
Abstract
Abstract Many methods have been used to reduce the destructive impact of oil spills on the environment. Herding agents added to the periphery of an oil slick cause it to contract into a thicker oil layer with a more uniform thickness covering a much smaller area, thus making it easier to remove the oil by mechanical means or by in situ burning. In this article, we evaluated how a series of poly(acrylamide‐ co ‐lauric acid) copolymers performed as chemical herders for oil spills. These polymers were tested with diluted bitumen spilled on fresh and artificial seawater. An increase in oil slick thickness of 363% was observed for the copolymer made with an acrylamide/lauric acid ratio of 70/30 in less than 10 min for a loading of 5 g polymer/100 g diluted bitumen. In addition, the final thickness of about 3.0 mm was higher than the requirement to initiate and maintain in situ burning. These easy‐to‐make and inexpensive poly(acrylamide‐ co ‐lauric acid) copolymers are attractive compounds for the remediation of oil spills.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.001 | 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 teacher head, 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".