Passive evaporation of source-separated urine from dry toilets: a lab study
Bibliographic record
Abstract
A methodology for evaporating human urine from dry toilets using gravity-drainage through vertically stacked plastic ‘cafeteria-type’ trays was tested. A thin layer (500 g) of medium-grained sand on the bottom of each tray enhanced evaporation, ammonia stabilization and solid product removal. A prototype laboratory unit initially evaporated up to 8.5 L m−2 d−1 but decreased to 1.5 L m−2 d−1 over time as salinity increased. The evaporation process produces a dark, highly saline, brine solution before drying to a solid product. The solid product has almost no odor and is mostly comprised of Na, Cl, N, P and K. Nitrogen loss, primarily by ammonia volatilization, significantly decreased the amount of N relative to P and K in the brine and solid product. About 90% of the NH4/NH3 initially present in the input urine was lost in the evaporator system.
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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 | 0.000 | 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 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".