Soil Survey: Methodology Improvement in Brazil Adopted by CTR-RIO for the Quality Control of Geomembrane Installations
Bibliographic record
Abstract
The soil survey methodology is used for the detection of leaks in geomembranes. Although little known in Brazil, it is well suited to minimize the risk of placing waste on a damaged liner system. A Canadian study indicates that the density of damages on installed geomembranes is on average between 4 and 22 leaks per hectare. Quality Control measures currently used in Brazilian landfills do not include this type of testing. As the existence of lined landfills is relatively new in Brazil, the impact caused by damage in the protective layers cannot be perceived. The landfill of CTR-RIO, in Rio de Janeiro, Brazil, adopted this methodology for quality control. The results after 4 years of operation indicated the amount of leaks found range between 0.5 and 8 leaks per hectare for an inspected area of approximately 310,000 m2. All identified damages could be repaired before the beginning of the waste disposal.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".