Corrigendum: Barriers and facilitators to implementing a new regulation restricting antimicrobial use in dairy production in Québec, Canada: a qualitative study
Bibliographic record
Abstract
Corrigendum: Barriers and facilitators to implementing a new regulation restrictingantimicrobial use in dairy production: A qualitative study1Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada2 Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada3 Centre de recherche en santé publique, Université de Montréal et Centre intégré de santé et de services sociaux du Québec du Centre-Sud-de-l’Île-de-Montréal, Montréal, QC, Canada4 Fond de recherche Nature et technologies du Québec (FRQNT) - Regroupement FRQNT Op+lait, Saint- Hyacinthe, QC, Canada5 Department of Clinical Sciences, Faculty of Veterinary Medicine, Université de Montréal, Saint- Hyacinthe, QC, Canada6 Oniris, INRAE, BIOEPAR, 44 300 Nantes, France7Association des médecins vétérinaires praticiens du Québec, Saint-Hyacinthe, QC, Canada8 Ross University School of Veterinary Medicine, P.O. Box 334, Basseterre, St. Kitts, West Indies * Correspondence: nikky.millar@umontreal.ca
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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 | 0.009 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".