SOMATIC CELL COUNT AND QUARTER MILK FLOW PARAMETERS FROM UDDER OF DAIRY COWS
Bibliographic record
Abstract
The quarter milk flows were recorded from 62 holstein cows during two consecutive months using special quarter milk flow re corder developed at our institute. Using the four-chamber claw all quarters were milked separately. The recorder consists of four milk receiver jars, the advancing weight (tensometers) of which was recorded each third second. The quarter milk weight registrations during milking were converted to a milk flow rate profile. Before milking, the samples of milk from each quarter were taken for somatic cell count measurement (SCC). The quarters with high SCC had lower milk yield, duration of milk flow and plateau, but higher duration of overmilking than quarter with low SCC. The highest SCC was found in the quarters with long duration of decline phase. There was a tendency of higher SCC in the quarters with longer overmilking only. The shorter milk flow, higher milk yields on one side and longer decline and overmilking phases for the quarters with high peak flow rate on the other were recorded. For good udder health we have to reduce overmilking, however, the reduction of decline phase could be important too.
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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 | 0.000 |
| 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 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".