MétaCan
Menu
Back to cohort
Record W7033877595

A sertéscircovírusok kórtani jelentősége és genetikai jellemzői = Clinical relevanceand geneticcharacterization ofporcine circoviruses

2025· article· hu· W7033877595 on OpenAlexaboutno aff

Bibliographic record

VenueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2025
Typearticle
Languagehu
FieldArts and Humanities
TopicLiterature and Cultural Memory
Canadian institutionsnot available
Fundersnot available
KeywordsPorcine circovirusCircovirusClinical significanceJaundicePorcine parvovirusGenotype
DOInot available

Abstract

fetched live from OpenAlex

A szerzők szakirodalmi adatok és saját eredményeik alapján összefoglalják a sertéscircovírusokkal kapcsolatos legfontosabb ismereteket. Míg a PCV1 általánosanapatogénnek tekinthető, a PCV2 jelentős gazdasági károkat okozó, endémiásankeringő vírus a sertésállományokban, amelyet az általa okozott szisztémás, sorvadásos megbetegedés kapcsán azonosítottak. A PCV3 járványtani jelentőségemég vitatott, de feltehetőleg szaporodásbiológia zavarokat és szisztémás megbetegedést okozhat. A PCV4-et nemrégiben súlyos légzőszervi megbetegedésesés hasmenéses esetek vizsgálata során írták le. A hazai sertésállományok jelentősrészében a PCV2 és PCV3 jellemzően szubklinikai formában kering és a genetikaielemzés alapján a PCV2d és PCV3a genotípus a legelterjedtebb. | Based on literature data and their own results, the authors summarize the most important knowledge on porcine circoviruses (PCVs). PCVs belong to the Circovirus genus in the Circoviridae family. Circoviruses are among the smallest known viruses, characterized by a circular single-stranded DNA genome. To date, four types of PCVs have been identified. While PCV1 is generally considered non-pathogenic, PCV2 is a globally endemic virus, causing significant economic losses. PCV2 systemic disease (PCV2-SD), formerly called as postweaning multisystemic wasting syndrome (PMWS) was first identified in Canada in the early-mid 90s. PCV2-SD is clinically characterized by respiratory distress, wasting, diarrhea, jaundice and enlarged subcutaneous lymph nodes usually occur in the early phases of the infection. In Hungary, PCV2-SD (PMWS) was first reported in 1999. PCV2 was found to display an extremely high substitution rate, which led to the emergence of eight different genotypes (PCV2a–h) so far. However, most of the currently available vaccines are based on the PCV2a genotype. In 2016, a third circovirus species, PCV3 was identified in the United States in tissues of pigs suffering from PDNS, reproductive failure, myocarditis or multisystemic inflammation. Its exact pathological role is still under debate, but the virus is presumed to cause reproductive disorders in sows and systemic disease in weaned pigs and fatteners. Recently, Chinese researchers identified a new circovirus species, named PCV4, during the examination of severe respiratory disease and diarrhea cases. In Hungary, PCV2 and PCV3 typically circulate in pig populations subclinically, without causing severe clinical symptoms, and genetic analyses have shown that the most widespread genotypes are PCV2d and PCV3a.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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.

Opus teacher head0.033
GPT teacher head0.277
Teacher spread0.245 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences)Same topicLiterature and Cultural MemoryFrench-language works237,207