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Record W2161610740 · doi:10.1099/0022-1317-83-10-2411

Sequence of the 3′-terminal end (8·1 kb) of the genome of porcine haemagglutinating encephalomyelitis virus: comparison with other haemagglutinating coronaviruses

2002· article· en· W2161610740 on OpenAlexaffabout
A. Marie-Josée Sasseville, Martine Boutin, Anne-Marie Gélinas, S. Dea

Bibliographic record

VenueJournal of General Virology · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsVirologyBiologyEncephalomyelitisGenomeVirusCoronavirusWhole genome sequencingCoronavirus disease 2019 (COVID-19)GeneticsGeneImmunologyMedicine

Abstract

fetched live from OpenAlex

A cytopathogenic coronavirus, serologically identified as porcine haemagglutinating encephalomyelitis virus (HEV), has recently been associated with acute outbreaks of wasting and encephalitis in nursing piglets from pig farms in southern Québec and Ontario, Canada. The 3'-terminal end of the genome of the prototype HEV-67N strain and that of the recent Québec IAF-404 field isolate, both propagated in HRT-18 cells, were sequenced. Overall, sequencing data indicated that HEV has remained antigenically and genetically stable since its first isolation in North America in 1962. Compared with the prototype strain of bovine enteropathogenic coronavirus (BCoV), HEV, as well as the human respiratory coronavirus (HCoV-OC43) showed a major deletion in their ORF4 gene. Deduced amino acid sequences for both HEV strains revealed 89/88, 80, 93/92 and 95/94% identities with the structural proteins HE, S, M and N of BCoV and HCoV-OC43, respectively. Major variations were observed in the S1 portion of the S gene of both HEV strains, with only 73/71% amino acid identities compared with those of the two other haemagglutinating coronaviruses.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.055
GPT teacher head0.262
Teacher spread0.207 · 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 designBench or experimental
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

Citations27
Published2002
Admission routes2
Has abstractyes

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Same venueJournal of General VirologySame topicAnimal Virus Infections StudiesFrench-language works237,207