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Record W2057465010 · doi:10.1097/mcg.0b013e31816b903f

Recommendations for Probiotic Use—2008

2008· review· en· W2057465010 on OpenAlexfundno aff
Martin H. Floch, W. Allan Walker, Stefano Guandalini, Patricia L. Hibberd, Sherwood L. Gorbach, Christina M. Surawicz, Mary Ellen Sanders, Guadalupe García–Tsao, Eamonn M.M. Quigley, Erika Isolauri, Richard N. Fedorak, Levinus A. Dieleman

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2008
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicProbiotics and Fermented Foods
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesCanadian Institutes of Health Research
KeywordsMedicineIrritable bowel syndromePouchitisDiarrheaInflammatory bowel diseaseProbioticFamily medicineMEDLINEDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Recommendations for the clinical use of probiotics were published after a Yale University Workshop in 2005. A similar workshop was held in 2007, and the recommendations were updated and extended into other areas. The recommendations are graded into an "A," "B," "C" or no category based on the expert's opinion and review by the workshop participants. An "A" recommendation is made for acute childhood diarrhea, prevention of antibiotic-associated diarrhea, preventing and maintaining remission in pouchitis, and in an immune response for the treatment and prevention of atopic eczema associated with cow's milk allergy. The group maintained several "B" recommendations in other areas of treating inflammatory bowel disease and irritable bowel syndrome. Although there are significant studies in the "B" group, most "B" recommendations did not reach an "A" level because of some negative studies or a limited number of studies. Many reports in the "C" recommendations were significant but fell short of receiving stronger ratings because of the size of reported patient studies, and also the factors that limited categories to the "B" rating.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.286
GPT teacher head0.421
Teacher spread0.136 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations138
Published2008
Admission routes1
Has abstractyes

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