Erratum to “Risk factors for morbidity in 1- to 9-day-old dairy calves following caustic paste disbudding” (JDS Commun. 2:376–380)
Bibliographic record
Abstract
The animal ethics statement was missing from this paper. The following statement should be included: “Use of animals and all methods for this study were approved by the University of Guelph Animal Care Committee (AUP#4001) in compliance with animal use guidelines of the Canadian Council on Animal Care (1993).” Risk factors for morbidity in 1- to 9-day-old dairy calves following caustic paste disbuddingJDS CommunicationsVol. 2Issue 6PreviewCalfhood disease has been linked to decreased growth, decreased survival to first calving, and increased age at first calving, and it adversely affects first-lactation milk production (Stanton et al., 2012). Prevalence of calfhood diseases is variable across dairy operations, ranging from 13.7 to 37.2% (NAHMS, 2011; Calderón-Amor and Gallo, 2020). There are many ways to mitigate the risk of adverse health events in calves, including proper colostrum management and reducing environmental stress or stressful events (Beam et al., 2009; Urie et al., 2018; Renaud et al., 2020). Full-Text PDF Open Access
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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.026 |
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".