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Record W2607678662 · doi:10.1371/journal.pone.0176741

Correction: Gastroenteritis Therapies in Developed Countries: Systematic Review and Meta-Analysis

2017· erratum· en· W2607678662 on OpenAlexaff
Stephen B. Freedman, Dion Pasichnyk, Karen Black, Eleanor Fitzpatrick, Serge Gouin, Andrea Milne, Lisa Hartling

Bibliographic record

VenuePLoS ONE · 2017
Typeerratum
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsResearch Canada
Fundersnot available
KeywordsMeta-analysisMEDLINEMedicineBioinformaticsData scienceIntensive care medicineComputer scienceBiologyInternal medicine

Abstract

fetched live from OpenAlex

There is an error in the first sentence of the second paragraph under the subheading "Oral Rehydration Therapy (ORT)" in the Results section. The correct sentence is: Three studies provided data on the effect for the primary outcome of hospitalization, which in meta-analysis, showed no significant difference between groups (RR 1.51, 95% CI 0.75, 3.03, I 2 = 11%; Table 4; Fig 2). There are several errors in Fig 2. Please see the corrected Fig 2 here.

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)0.045
metaresearch head score (Gemma)0.400
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.128
Threshold uncertainty score0.428

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.400
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0070.009
Bibliometrics0.0070.012
Science and technology studies0.0040.003
Scholarly communication0.0070.005
Open science0.0080.004
Research integrity0.0100.019
Insufficient payload (model declined to judge)0.1280.038

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 head0.156
GPT teacher head0.341
Teacher spread0.185 · 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 designMeta-analysis
Domainnot available
GenreEditorial

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
Published2017
Admission routes1
Has abstractyes

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