Milk flow patterns at the end of milking at the whole udder or quarter levels: relationship to somatic cell counts
Bibliographic record
Abstract
On the basis of the milk flow profiles analysed at the level of single quarters and whole udder relationships between the duration of the decline phase of milk flow and somatic cell counts (SCC) were investigated. 39 Holstein cows, free of clinical mastitis and in their first to third lactation, were used. A total of 1760 quarter and 440 whole udder milk flow curves were recorded during 6 consecutive days. At the last evening and morning milking of this period milk samples from all quarters were collected for SCC determination. At the whole udder level no relation between duration of the decline phase and SCC was found. The decline phase increased with increasing milk yield. At the single quarter level the cows with longer duration (over 80s) of quarter decline phase had significantly higher SCC in their milk. Single quarter decline phase increased with peak milk flow rate. The duration of the quarter decline phase was not related to the duration of blind phase (overmilking) and milk production. No correlation was found between duration of blind phase and SCC on a single quarter level.
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 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 | 0.000 |
| 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) | 0.000 | 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 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".