Bacteriological and Physico-Chemical Characterization of Surface Water and Evaluation of a New Water Treatment System in Southwestern Ontario Dairy Farms
Bibliographic record
Abstract
The objective of this study was to characterize untreated surface water sources for dairy farms in Southwestern Ontario for their physico-chemical and their bacteriological properties, including isolation and analysis of antimicrobial susceptibility in bacteria. This study also evaluated the efficacy of a newly designed water treatment system. The bacteriological analysis of 15 surface water sources indicated a high level of contamination with a wide variety of Gram-negative bacteria. Although multidrug resistant E. coli strains were isolated, the overall proportion of antimicrobial-resistant bacteria in surface water was low. The physico-chemical parameters of the investigated waters, including turbidity, total solids, hardness, iron, and UV transmittance, were above the acceptable limits for use on the farms. The new water treatment system that was tested effectively reduces bacterial numbers below the detection limit and improves physico-chemical properties of water to acceptable levels after treatment. The present study supports the use of CF and sand filtration prior to decontamination with UV light.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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 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".