Design and Performance for A Novel Low-Tech Water Filter System
Bibliographic record
Abstract
A low-tech water treatment system with a novel configuration is described which delivers safe water (>3 log-removal of E. coli), has low cost, provides safe water in quantities for a household for substantial time periods, is easy to maintain, robust against breakage, and avoids recontamination. Due to the unique design, the Guelph Water Filtration system (Guelph Water Filter) remains functional for periods substantially longer than previous technologies, providing ~6 years for delivery of treated water at flow rates exceeding 1 L/hr (for low turbidity (0.05 ~ 1.00 NTU) source water). The ceramic filter components of the system are easily replaceable in the filter housing and the Guelph Water Filter is feasible as a village-level production/employment opportunity. The long-term performance of the ceramic filter component of the Guelph system improves longevity of performance by reducing clogging and enables two filter elements to be used in a single filter housing (doubling the surface area through which filtration occurs). Placing the filter in a large reservoir (pail) also significantly reduces the frequency of the need to refill raw water (alternative filter designs require refilling and monitoring multiple times 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".