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Record W2174218749 · doi:10.1016/s0002-838x(15)30303-8

10.1016/s0002-838x(15)30303-8

2000· article· en· W2174218749 on OpenAlexvenueno aff
Drew C Baird, Dausen J. Harker, Aaron S. Karmes

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRefluxGERDRegurgitation (circulation)VomitingPediatricsProton-pump inhibitorOmeprazoleGastroenterologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Gastroesophageal reflux is defined as the passage of stomach contents into the esophagus with or without accompanied regurgitation (spitting up) and vomiting. It is a normal physiologic process that occurs throughout the day in infants and less often in children and adolescents. Gastroesophageal reflux disease (GERD) is reflux that causes troublesome symptoms or leads to medical complications. The diagnoses of gastroesophageal reflux and GERD are based on the history and physical examination. Diagnostic tests, such as endoscopy, barium study, multiple intraluminal impedance, and pH monitoring, are reserved for when there are atypical symptoms, warning signs, doubts about the diagnosis, or suspected complications or treatment failure. In infants, most regurgitation resolves by 12 months of age and does not require treatment. Reflux in infants may be treated with body position changes while awake, lower-volume feedings, thickening agents (i.e., rice cereal), antiregurgitant formula, extensively hydrolyzed or amino acid formulas, and, in breastfed infants, eliminating cow's milk and eggs from the mother's diet. Lifestyle changes to treat reflux in children and adolescents include sleeping position changes; weight loss; and avoiding smoking, alcohol, and late evening meals. Histamine H2 receptor antagonists and proton pump inhibitors are the principal medical therapies for GERD. They are effective in infants, based on low-quality evidence, and in children and adolescents, based on low- to moderate-quality evidence. Surgical treatment is available, but should be considered only when medical therapy is unsuccessful or is not tolerated.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0040.005
Open science0.0040.004
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.9890.993

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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations50
Published2000
Admission routes1
Has abstractyes

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