The effect of dissolved humic substances on the binding and biodegradation of polycyclic aromatic hydrocarbons in soil
Bibliographic record
Abstract
Leonardite is a naturally occurring oxidized form of lignite coal that is rich in humic materials. It is collected during coal-mining procedures, as it is commonly found overlying coal seams. Humic substances have been shown to significantly enhance the aqueous solubilities of PAHs by acting as a surfactant, increasing the water solubility of the PAH and allowing the contaminants to enter the aqueous phase. The use of humic acids on contaminated soils has the potential to greatly enhance the solubility, and consequently the bioavailability, of PAHs allowing for an easier and more efficient bioremediation procedure. A fluorescence quenching method was used to determine the association constants (Kb) for various water-soluble humic materials and naphthalene. The objective of the microcosm study was to determine if a variety of dissolved humic material solution amendments could influence the biodegradation rate of selected PAHs, namely anthracene and benzo[a]pyrene, in a soil with previous exposure to PAHs. (Abstract shortened by UMI.)
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.
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 | 0.000 | 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 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".