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Record W4403059026 · doi:10.58931/cait.2023.3358

Hydrogen and methane breath testing for abdominal bloating of small intestinal origin

2023· article· en· W4403059026 on OpenAlexfundno aff
Ji‐Hong Chen, Jan D. Huizinga

Bibliographic record

VenueCanadian allergy & immunology today. · 2023
Typearticle
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsBloatingMethaneGastroenterologyHydrogen breath testMedicineInternal medicineBreath testHydrogenSmall intestinal bacterial overgrowthChemistryAbdominal painIrritable bowel syndromeOrganic chemistry

Abstract

fetched live from OpenAlex

Abdominal bloating with or without excessive gas production and with or without abdominal distention is common, very bothersome for patients, and is poorly understood. Bloating can be associated with gastrointestinal disorders, nutrient malabsorption, and systemic illnesses. The origin of abdominal bloating is often unclear, though it is usually associated with food intake and bowel motility dysfunction. Often, food allergies, food intolerance, or food poisoning are considered by the patient or physician as potential causes for bloating. A common concern in the patient’s mind is that healthcare professionals will dismiss or misdiagnose their complaint. The limited understanding of the pathophysiology of bloating leads to current empirical management, and bloating is often characterized as a “functional” disorder. Bloating carries a heavy clinical, psychological, and economic burden. Proper diagnosis will provide the patient with peace of mind and lead to effective treatment. This review focuses on the mechanisms and management of abdominal bloating associated with different small intestinal disorders identified by non-invasive hydrogen and methane breath tests.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.276
Teacher spread0.230 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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