Eisenia fetida as a bioengineering tool for enhancing the degradation of hydrocarbon contaminants found in Pulp and Paper Mill Sludge (PPMS)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Environmental contamination by petroleum hydrocarbons originating from industrial organic waste can lead to bioaccumulation within ecosystems. The Corner Brook Pulp and Paper Limited produces approximately 150 Mg/day of pulp and paper mill sludge (PPMS) contaminated with heavy oil, thereby limiting its safe disposal. Therefore, this study aimed to determine how the stocking density of the earthworm Eisenia fetida influences the degradation of petroleum hydrocarbons in contaminated PPMS and, in turn, how hydrocarbon contamination affects earthworm population dynamics during vermicomposting. Three stocking densities of E. fetida (1.5low, 2.7medium, and 4high) per kg of PPMS were maintained in PPMS having an initial petroleum hydrocarbon content of 886 ±11 mg/kg. Overall, hydrocarbon degradation was highest in the medium-density (36.6%), followed by low (35.9%) and high (32.4%) densities. Among the hydrocarbon fractions, >C16–C21 showed the highest degradation in the low-density (67.2%), whereas >C21–C32 hydrocarbons were most effectively degraded in the medium-density (28.4%). The C6–C10 fraction remained unchanged in the low-density E. fetida but decreased by approximately 50% in the medium- and high-density. Higher initial stocking density also resulted in increased E. fetida mortality. These findings highlight the importance of selecting an appropriate initial stocking density of E. fetida for effective degradation of petroleum hydrocarbons during vermicomposting of PPMS.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it