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Record W2014741655 · doi:10.1002/ebch.1912

Commentaries on ‘Home safety education and provision of safety equipment for injury prevention’

2013· article· en· W2014741655 on OpenAlexaff
Kelly Russell, Barbara A. Morrongiello, Kieran J. Phelan

Bibliographic record

VenueEvidence-Based Child Health A Cochrane Review Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of GuelphUniversity of ManitobaHealth Sciences Centre
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Advancing Translational Sciences
KeywordsWynnMedicineWatsonCochrane collaborationChemical safetySystematic reviewFamily medicineGerontologyAlternative medicineMEDLINECochrane LibraryRisk analysis (engineering)Law

Abstract

fetched live from OpenAlex

Abstract These are commentaries on a Cochrane review, published in the issue of EBCH, first published as: Kendrick D, Young B, Mason‐Jones AJ, Ilyas N, Achana FA, Cooper NJ, Hubbard SJ, Sutton AJ, Smith S, Wynn P, Mulvaney C, Watson MC, Coupland C. Home safety education and provision of safety equipment for injury prevention. Cochrane Database of Systematic Reviews 2012, Issue 9. Art. No.: CD005014. DOI: 10.1002/14651858.CD005014.pub3.

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)0.102
metaresearch head score (Gemma)0.507
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 score0.102
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1020.507
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.011
Bibliometrics0.0060.009
Science and technology studies0.0050.006
Scholarly communication0.0070.010
Open science0.0110.007
Research integrity0.0350.039
Insufficient payload (model declined to judge)0.0280.012

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 head0.040
GPT teacher head0.414
Teacher spread0.374 · 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".

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Citations8
Published2013
Admission routes1
Has abstractyes

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Same venueEvidence-Based Child Health A Cochrane Review JournalSame topicInjury Epidemiology and PreventionFrench-language works237,207