Feasibility Study on Liquefaction Mitigation of Fraser River Sediments by Microbial Induced Desaturation and Precipitation (MIDP)
Bibliographic record
Abstract
A bio-mediated ground improvement technique known as microbial-induced desaturation and precipitation (MIDP) via denitrification can be used to introduce biogas and bio-minerals into the soil matrix. A feasibility study was performed to assess the potential of MIDP to stabilize sediments under an embankment along the Fraser River in Richmond, a coastal city in Canada. Locally collected sediments were subjected to multiple MIDP treatment cycles under similar stress conditions as expected in the field using a modified triaxial test set up. The hydraulic conductivity was determined after each treatment cycle. The mechanical response of the treated soil was evaluated under undrained loading conditions. Results show that with increasing treatment cycles, the hydraulic conductivity decreased significantly. The original tangent modulus increased with the number of treatment cycles as did the slope of the straight line passing through the phase transformation point in the effective stress path plane. The effective stress paths of treated samples almost merged, and they lie somewhere between the drained and undrained lines.
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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 | 0.000 | 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) | 0.000 | 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 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".