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Record W2906790006 · doi:10.1201/9781351077804-9

Yersinia Enterocolitica Gastroenteritis in Children and Their Families

2018· book-chapter· en· W2906790006 on OpenAlexaboutno aff
Melvin I. Marks, C. H. Pai, L Lafleur

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsnot available
Fundersnot available
KeywordsYersinia enterocoliticaYersiniaMicrobiologyMedicineBiologyBacteriaGenetics

Abstract

fetched live from OpenAlex

Yersinia enterocolitica infections are being recognized more frequently as we become increasingly familiar with their clinical symptomatology and the bacteriologic characteristics of the microorganism. The original descriptions of infection in the 1930s include children with diarrhea and abdominal pain, the most common manifestations of this illness. In recently completed prospective study of Y. enterocolitica gastroenteritis of children, bacteriologic spread within the household of infected children was common and occurred in 30% of 66 families with 29% of 45 exposed children and 8.4% of 134 adult contacts becoming infected. Y. enterocolitica is a common cause of bacterial gastroenteritis in Montreal children. Bacteremia is apparently rare in normal children with Y. enterocolitica infection. Abdominal pain is often the most striking feature of Y. enterocolitica infection. In preschoolers this usually accompanies diarrhea; however in older children the pain may suggest the diagnosis of appendicitis and diarrhea is absent.

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: none
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.007
GPT teacher head0.229
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

Citations2
Published2018
Admission routes1
Has abstractyes

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Same topicYersinia bacterium, plague, ectoparasites researchFrench-language works237,207