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Record W97833283 · doi:10.1093/pch/8.2.99

Travellers' diarrhea in children

2003· article· en· W97833283 on OpenAlexaff
Pierre Plourde

Bibliographic record

VenuePaediatrics & Child Health · 2003
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsWinnipeg Regional Health Authority
Fundersnot available
KeywordsDiarrheaDeveloping countryMedicineTraveler's diarrheaAcute diarrheaPediatricsDeveloped countryIntensive care medicineEnvironmental healthPopulationInternal medicineEconomic growth

Abstract

fetched live from OpenAlex

Diarrhea is the most common medical problem affecting all travellers to developing countries. Younger children are at especially high risk of acquiring travellers' diarrhea and of suffering more severe consequences. Up to 50% of travellers from developed to developing countries can expect to have at least one episode of acute diarrhea during a two-week stay. Episodes of travellers' diarrhea usually begin abruptly, either during travel or soon after returning home, and are generally self-limited.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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 teacher head, not a consensus.

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

Citations18
Published2003
Admission routes1
Has abstractyes

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