Mobile Water Kit 2.0: A Field Deployable Solution for E. coli Detection in Potable Water
Bibliographic record
Abstract
Escherichia coli ( E. coli ) is an indicator organism, the presence of which in potable water suggests that the water source has been compromised. We have developed a simple, easy to use, low-cost and extremely efficient test method known as the Mobile Water Kit (MWK) (MWK 2.0), which has greatly simplified the process of E. coli detection in the field. The MWK 2.0 would allow sample concentration and detection in one single step. With MWK 2.0, we were able to detect E. coli concentrations of 4x10 6 CFU/mL to 4x10 5 CFU/mL within 5 min and 4x10 4 CFU/mL to 400 CFU/mL within 1 hour, which is indeed a break-through compared to any available commercial product available in the market.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".