Impact of Milk Temperature Monitoring on Milk Quality on Ontario Dairy Farms
Bibliographic record
Abstract
The Ontario dairy industry takes great pride in providing high quality milk products to the consuming public. Milk and milk products are an important part of the daily diet of most Ontario residents. Bacterial contamination of raw milk has a major negative impact on milk quality. Even though most milk is pasteurized prior to consumption, raw milk is consumed by some farming families and is used to manufacture some food products. Dairy Farmers of Ontario have required installation of Time Temperature Recorder's (TTR's) on all Ontario dairy farms, with the intention of preventing elevated bacteria levels in raw milk under the Canadian Quality Milk Program. The TTR has two sensors, one in the bulk tank that monitors the raw milk temperature and one in the pipeline to monitor wash water temperature during the wash cycle. The objective of this study was to evaluate the impact of TTR's on the bacterial content of raw milk and the loss of (dumped) bulk tank milk on Ontario dairy farms and to summarize the occurrences of the different TTR alarms.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".