Development of a Method to Estimate the Mass and Toxic Bioavailabilities of Pentachlorophenol during its Transport through Saturated Porous Media
Bibliographic record
Abstract
Bioavailability of organic contaminants in soil has recently been a focus of interest but a lack of knowledge of its behavior during contaminant transport through saturated porous media, such as aquifers, is observed. This research presents a method, based on a generally accepted definition of bioavailability, that quantifies mass and toxic bioavailabilities of organic contaminants during their transport in terms of bioavailability rates. Elutions of pentachlorophenol (PCP) were performed using inoculated laboratory columns at two different pore-water velocities and on two different media. Both PCP and the toxic response (Microtox) were monitored at the exit of the columns for quantification of the rates. Results show that the non-dimensional mass bioavailability rate decreased with increasing pore-water velocity (from 0.52 to 0.15) and with increasing retention (from 0.15 to 0.02). The non-dimensional toxic bioavailability rate decreased with increasing retention (from 0.59 to 0.22). Results indicate that this method shows a potential for quantifying contaminant bioavailability according to both outcomes: biodegradation and toxicity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".