In situ diagnostic assessment for the infiltration rate of the northern Gaza wastewater infiltration basins
Bibliographic record
Abstract
The Northern Gaza Emergency Sewage Treatment (NGEST) is addressed as a promising water management intervention strategy to maintain the sustainability of groundwater aquifer in the Gaza Strip. This study assesses the current operational status of the north-ern Gaza wastewater infiltration basins located at NGEST project. In situ diagnostic assessment was performed at two spots (A) and (B) located inside the basin (3). The results of sieve analysis and bulk density indicate that the soil at the spot (B) is finer than of spot (A) where the contents of the fine material and bulk densities were 13% and 1544 kg/m3 at the spot (A) and 23.7% and 1544 kg/m3 at the spot (B). In terms of the infiltration capacity, the nature of soil at the spot (A) exhibits better initial and saturated infil-tration rate in comparison to the soil at the spot (B), where the initial and saturated infiltration rates were 2.88 and 0.43 for spot (A) and 0.29 and 1.73 meters per day for spot (B), respectively. Thus, the diagnostic assessment for the northern Gaza wastewater infil-tration basins indicates that the soil classification is silty sand and the infiltration rates range between about 3 and 0.3 meters per day.
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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 | 0.001 | 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 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".