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Record W1995339017 · doi:10.1136/ebn.11.3.74

Review: cranberry products may prevent urinary tract infection in women with recurrent infectionsCommentary

2008· letter· en· W1995339017 on OpenAlexaff
Donna Moralejo

Bibliographic record

VenueEvidence-Based Nursing · 2008
Typeletter
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineCINAHLCochrane LibraryPlaceboUrinary systemInternal medicineMEDLINEClinical trialRandomized controlled trialPediatricsAlternative medicinePsychological interventionNursingPathology

Abstract

fetched live from OpenAlex

R Jepson Dr R Jepson, University of Stirling, Stirling, UK; ruth.jepson@stir.ac.uk Do cranberry products prevent urinary tract infection (UTI) in susceptible people? Studies selected compared cranberry juice or cranberry tablets (taken for ⩾1 mo) with placebo, no treatment, or other treatments for primary or secondary prevention of UTI in susceptible populations (eg, people who had recurrent UTIs, were elderly, or required catheterisation). Studies involving treatment of active UTI were excluded. Outcome was symptomatic UTI with bacteriological confirmation. Cochrane Renal Group trials register and Cochrane Central Register of Controlled Trials (to Jan 2007), Cochrane Collaboration Field in Complementary Medicine trials register, Medline, CINAHL, EMBASE/Excerpta Medica, LILACS, PsycLit, Biological Abstracts, Current Contents, National Research Register, the internet, reference lists, and conference abstracts were searched for randomised or quasi-randomised controlled trials published in English or 1 of 7 …

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)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.321
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2008
Admission routes1
Has abstractyes

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