Bibliographic record
Abstract
A numerical model to predict biologically induced clogging of municipal solid waste leachate collection systems is described. The model simulates the accumulation of clog mass in the porous media by the growth of biomass and precipitation of minerals. In addition, the settling and deposition of suspended particles is modelled. A technique for modelling filter-separator layers between the waste and the coarse granular drainage material is described. The application of the model is illustrated for two series of laboratory mesocosm experiments: one where the waste was in direct contact with the underlying drainage layer and the second where there was a granular filter between the waste and the coarse gravel drainage layer. The modelling shows that the clogging of the gravel in the lower regions of the saturated drainage layer is estimated better by the advanced numerical model than the previously published model. In both cases, the calculated results are in encouraging agreement with the observed behaviour. It is concluded that this model has potential for use in modelling biologically induced clogging of municipal landfill leachate collection systems.
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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 | 0.001 | 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) | 0.002 | 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".