Erratum to “Short communication: Analysis of health and survival in a population of Ontario Holstein heifer calves” (J. Dairy Sci. 96:1800–1885)
Bibliographic record
Abstract
Figure 1 (page 1883) contained 2 identical panels (b and c). The corrected figure is shown below, including the correct data for panel b. The authors regret the error. Short communication: Analysis of health and survival in a population of Ontario Holstein heifer calvesJournal of Dairy ScienceVol. 96Issue 3PreviewThe objective of the present study was to investigate health and survival in heifer calves, from 16 farms in southwestern Ontario. Research technicians visited the farms on a weekly schedule for 16 mo, starting in January 2008, and collected blood samples and various measurements to determine the overall health status of the calves. Data of 1,588 Holstein heifer calves from birth until 90 to 120 d of age were analyzed. Initially, a survival analysis was carried out to determine which factors surrounding birth increased a calf's risk of mortality. Full-Text PDF Open Archive
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.010 |
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".