Microspheres as Surrogates for <i>Cryptosporidium</i> Filtration
Bibliographic record
Abstract
Pilot‐scale studies were conducted to determine if polystyrene microspheres are reasonable surrogates for Cryptosporidium parvum removal by filtration. Previously reported data from a conventional pilot plant using a high coagulant dose optimized for combined total organic carbon and particle removal were contrasted with data from a pilot‐scale, in‐line filtration plant using a low coagulant dose optimized for particle removal. The removal of oocysts and microspheres was investigated during optimal operation as well as periods of process challenge and ranged from 0.5 log to >5 logs. When data over a wide range of operating conditions (and oocyst and microsphere removals) were available, approximately linear relationships were discerned (the coefficient of determination [R2] ranged from 0.74 to 0.96). Although the exact relationship between oocyst and microsphere removals by filtration was somewhat site‐specific, it was demonstrated that oocyst‐sized microspheres are a useful tool during filtration‐optimization studies and performance assessments.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".