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Record W2095364275 · doi:10.4267/2042/54194

Virus entériques humains et coquillages

2014· article· en· W2095364275 on OpenAlexaff
Sylvain Parnaudeau, Cécile Le Mennec, Takayuki Miura, Jean‐Claude Le Saux, F. Le Guyader

Bibliographic record

VenueBulletin de l Académie vétérinaire de France · 2014
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsShellfishNorovirusVirusBiologyOutbreakSewageContaminationHuman healthHepatitis a virusVirologyAquatic animalFisheryFish <Actinopterygii>Environmental healthMedicineEcologyEnvironmental science

Abstract

fetched live from OpenAlex

Human enteric viruses and shellfish Human enteric viruses discharged in raw sewage are hightly resistant and may be detected in surface waters, coastal areas and shellfish. Whereas noroviruses, responsible for relatively benign acute gastroentritis, are the most common agents implicated in shellfish borne outbreaks, other human viruses which cause severe human diseases, such as hepatitis A virus, may also be transmitted. Environmental studies have demonstrated that virus concentrations detected in shellfish are higher than in surrounding waters. This concentration may explain the high prevalence of noroviruses detected in various shellfish species collected in different countries. If many questions remain regarding viral contamination of shellfish, the most important seems to be the prevention of coastal areas contamination by human sewages.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.307
Teacher spread0.295 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueBulletin de l Académie vétérinaire de FranceSame topicViral gastroenteritis research and epidemiologyFrench-language works237,207