Temporal Repeatability of Positive Test Results of Mycobacterium avium subspecies paratuberculosis-antibody Milk ELISA-positive Cows
Bibliographic record
Abstract
Johne’s disease (JD) of dairy cows is caused by Mycobacterium avium subspecies paratuberculosis (MAP). Although the majority of infected cows are subclinical, the infection causes production losses which lead to economic losses for the farm. Available tests do not identify all subclinically infected cows, and anecdotal reports from producers indicate that some cows can test positive for Johne’s disease or MAP antibodies at one test, and the same cow can test negative at a following test. These contradictory results often lead to frustration and uncertainty among producers about the interpretation of test results and their implication for JD control on their farm. Therefore, the objective of this study was to identify characteristics of the cow and her Dairy Herd Improvement (DHI) milk test at the time of a positive MAP-antibody milk ELISA (MAP milk ELISA) result that is followed by a different milk ELISA result, i.e. negative or suspect, compared to a cow’s milk test where cows tested positive at both the initial and subsequent MAP milk ELISA.
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 | 0.002 | 0.007 |
| 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 | 0.001 | 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".