Polychlorinated biphenyl diffusion through HDPE geomembrane
Bibliographic record
Abstract
Experiments conducted to evaluate the partitioning coefficient from aqueous solution into and out of high-density polyethylene geomembrane, as well as the diffusion coefficient through the geomembrane are reported. The best estimate partitioning coefficient (S gf ) is about 150 000 with an upper-bound estimate of 325 000. The best estimate diffusion coefficient (D g ) is 1.0 × 10 −14 m 2 /s, with lower and upper bounds of 0.5 × 10 −14 and 5 × 10 −14 , respectively. Using the diffusive properties obtained from the above experiments, the potential impacts on an aquifer of the migration of polychlorinated biphenyls and chloride are compared for a composite liner in a hypothetical municipal solid waste landfill. It is shown that, with good construction quality assurance to limit the number of holes and length of covered wrinkles to acceptably low values, a modern composite liner limited the impact of polychlorinated biphenyls on the aquifer concentration to well below regulatory limits.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 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; both teacher heads agree on what is shown here.
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".