Investigations on Teat Canal Length in Teats with Milk Flow Disturbances
Bibliographic record
Abstract
The objective of this study was to evaluate teat canal length as a test for tissue ruptures in the area of the teat canal in teats with milk flow disturbances (Medl's test). A total of 133 dairy cows affected with milk flow disturbances in one teat were used for this study. The teat canal length of the affected teat was compared with the teat canal length of the contralateral teat of the same cow. Milk flow disturbances were diagnosed by endoscopy. Diagnoses were categorized as tissue ruptures in the area of the teat canal or other causes such as narrowing of the teat canal, or free foreign bodies in the teat cistern. The median teat canal length was 11 mm in teats with milk flow disturbances, and 8 mm in contralateral control teats. When the test criterion was lengthening of the teat canal by > or =2 mm, 79% of the teat canals with tissue ruptures tested positive (true positive), but 47% of teat canals without tissue ruptures also tested positive (false positive). When the test criterion was unchanged teat canal length, 47% of teat canals with tissue ruptures tested positive, and only 7% of teat canals without tissue ruptures tested positive. Thus, it is concluded that Medl's test may be useful in differentiating causes of milk flow disturbances. However, a more accurate diagnosis may be made by teat endoscopy.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".