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Record W2062528886 · doi:10.1002/ebch.261

Commentaries on ‘Vitamin C for preventing and treating the common cold’ with responses from the review author

2008· article· en· W2062528886 on OpenAlexaff
Larissa Shamseer, Sunita Vohra, Renske Bax, Leo Spee, Marieke Madderom, Harri Hemilä

Bibliographic record

VenueEvidence-Based Child Health A Cochrane Review Journal · 2008
Typearticle
Languageen
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCochrane collaborationSystematic reviewAlternative medicineFamily medicineMEDLINECochrane LibraryPathologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract These are commentaries on a Cochrane review, published in this issue of EBCH, first published as: Douglas RM, Hemilä H, Chalker E, Treacy B. Vitamin C for preventing and treating the common cold. Cochrane Database of Systematic Reviews 2007, Issue 3. Art. No.: CD000980. DOI: 10.1002/14651858.CD000980. pub3. Further information for this Cochrane review is available in this issue of EBCH in the accompanying EBCH Summary and Characteristics and Key Findings Tables . Copyright © 2008 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd. The Cochrane Collaboration

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)0.100
metaresearch head score (Gemma)0.483
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.100
Threshold uncertainty score0.531

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1000.483
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0050.010
Bibliometrics0.0050.008
Science and technology studies0.0050.006
Scholarly communication0.0070.011
Open science0.0090.007
Research integrity0.0330.035
Insufficient payload (model declined to judge)0.0360.017

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 head0.089
GPT teacher head0.405
Teacher spread0.316 · 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

Citations7
Published2008
Admission routes1
Has abstractyes

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Same venueEvidence-Based Child Health A Cochrane Review JournalSame topicVitamin C and Antioxidants ResearchFrench-language works237,207