Clinical presentation, case definition, and diagnostic guidelines for porcine periweaning failure to thrive syndrome
Bibliographic record
Abstract
Porcine periweaning failure to thrive syndrome (PFTS) is a clinical condition characterized by anorexia, lethargy, and progressive debilitation of pigs occurring within 2 to 3 weeks after weaning. In affected populations, there is a striking contrast between the clinically affected pigs, which progress from being normally active to lethargic within days of weaning, and the unaffected members of their cohort, which grow and behave normally. The etiology, pathophysiology, and pathogenesis of PFTS have not been determined, although several infectious agents have been identified in affected pigs. Histopathologic lesions of chronic active rhinitis, superficial gastritis, atrophic enteritis, superficial colitis, and thymic atrophy are observed in most PFTS-affected pigs. The basis for a presumptive diagnosis of PFTS includes the age of onset, the presence of typical clinical signs, the presence of the collective histopathologic lesions, and, importantly, the ruling out of other known swine diseases (for example, porcine circovirus associated disease, swine influenza, porcine reproductive and respiratory syndrome, and bacterial infections). The objectives of this paper are to propose a clinical case definition, describe the characteristic clinical progression, signs, and observed lesions of PFTS, and to make recommendations for investigation of PFTS-suspected farms.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".