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Record W2143211788 · doi:10.1177/104063870001200209

Porcine Postweaning Multisystemic Wasting Syndrome in Korean Pig: Detection of Porcine Circovirus 2 Infection by Immunohistochemistry and Polymerase Chain Reaction

2000· article· en· W2143211788 on OpenAlexaff
Changsun Choi, Chanhee Chae, Edward G. Clark

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPorcine circovirusSpleenLymphPathologyCircovirusLymph nodeWhite pulpWasting SyndromeImmunohistochemistryPolymerase chain reactionBiologyLymphatic systemRed pulpAntigenVirologyImmunologyWastingMedicineVirus

Abstract

fetched live from OpenAlex

This report describes the first diagnosis of porcine circovirus (PCV) infection in weaned pigs with postweaning multisystemic wasting syndrome in Korea by immunohistochemistry and polymerase chain reaction. The most unique lesions were multifocal granulomatous inflammation affecting lymph nodes, liver, and spleen, characterized by infiltrates of epithelioid macrophages and multinucleated giant cells. Circoviral antigen was detected in formalin-fixed sections and was usually present in large, round, dendritic cells in the white pulp of spleen and remnants of follicles in lymph nodes. Lymphoid follicles in the tonsils also contained PCV antigen. A 530-bp DNA fragment of circovirus was successfully amplified from all tested lymph nodes, liver, and spleen.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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

Citations96
Published2000
Admission routes1
Has abstractyes

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