Describing patterns of mastitis indicators during a clinical mastitis episode
Bibliographic record
Abstract
A total of three dairy farms, run on Automatic Milking System (AMS) and having on average \n163, 177, and 99 lactating dairy cows respectively, were included in this study. Two of the farms \nwere located in the Netherlands, and one in Canada. The data was retrieved from the database of \nDeLaval International AB (Tumba, Stockholm). The study aimed to analyze and describe the \nchanges in patterns of mastitis indicators, recorded by sensors, before, during, and after a case of \nclinical mastitis (CM). In total, 149 cases of CM were identified in the study period, out of which \n91 were a first case of CM during a lactation. Fifty-eight of these cases recovered from CM. \nRecovery was defined based on the somatic cell count (SCC) values being less than 200,000 SCC/ml \nduring the end of the follow-up period. The parameters studied were the SCC, electrical conductivity \n(EC), and lactate dehydrogenase (LDH) levels of the milk for recovered and non-recovered cases. \nThe statistical analyses were carried out on recovered cases with linear mixed models and results \npresented as estimated marginal means that were used to analyze the patterns of mastitis indicators \nfor an episode of CM. Further, association analysis was also carried out to check the strength of the \nrelationship between the individual mastitis indicator before and during the treatment initiation and \nthe end of the follow-up period i.e., after 48 days of the treatment initiation. It was found that for \nrecovered cases, the increase in SCC values started approximately 5-8 days before achieving a peak \nwhereas the EC values began to increase relatively later, i.e., approximately 1-4 days before \nattaining a peak. LDH values, for both, recovered and non-recovered cases started to increase the \nearliest, that is approximately 9-12 days before attaining a peak value. Furthermore, for recovered \ncases, it took approximately 20 days for the SCC, EC, and LDH values to stabilize after achieving \na peak value. For recovered cases, the SCC and EC values took 20-24 days to drop to the pre-CM \nlevel, whereas for LDH it took up to 28 days. No significant associations between the variation in \nthe individual mastitis indicator before CM and the recovery phase were found. Further research \nwith a larger dataset is needed to test whether a pre-treatment variation in SCC, EC, and LDH is of \nvalue to predict recovery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".