Evaluation of monthly individual cow somatic cell count data to predict the risk of exceeding a bulk-tank somatic cell count threshold of 400,000 c/mL
Bibliographic record
Abstract
Since August 2012, the upper tolerance limit for bulk-tank somatic cell count (BTSCC) in Canada is 400,000 c/mL. Among Quebec's dairy herds in 2011, 13% of BTSCC analyses exceeded that limit and were at risk of financial penalties. Herd indices on the basis of individual-cow somatic cell count (SCC) variations around a threshold of 200,000 c/mL between 2 consecutive months in lactation have been described (proportion of cows cured, new 'intramammary infection [NIMI], healthy or chronic) and could be used to monitor the dynamics of herd udder health. The objective of this study was to use individual-cow udder health indices for the preceding 3-month period to develop a predictive model to estimate the risk of exceeding the BTSCC limit of 400,000 c/mL the following month.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".