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Record W2183141260 · doi:10.54846/jshap/696

Clinical presentation, case definition, and diagnostic guidelines for porcine periweaning failure to thrive syndrome

2011· article· en· W2183141260 on OpenAlexafffund
Yanyun Huang, Steve Henry, Robert Friendship, Kent Schwartz, John C. S. Harding

Bibliographic record

VenueJournal of Swine Health and Production · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsUniversity of Saskatchewan
FundersMinistry of Agriculture - Saskatchewan
KeywordsFailure to thrivePresentation (obstetrics)MedicineCase presentationPediatricsIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.109
GPT teacher head0.389
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations26
Published2011
Admission routes2
Has abstractyes

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