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Coin-sized Lithium batteries pose an emerging global burn risk to children

2012· article· en· W2045849978 on OpenAlexaff
Chalmers Eric, Weaver Ann, Fuselli Pamela, Mickalide Angela

Bibliographic record

VenueInjury Prevention · 2012
Typearticle
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsActive Healthy Kids
Fundersnot available
KeywordsBattery (electricity)MedicineMedical emergencyPoison controlSuicide preventionOccupational safety and healthInjury preventionEnvironmental healthPathology

Abstract

fetched live from OpenAlex

Background About 3500 button battery swallowing cases are reported to poison control centres in the USA each year and are an emerging risk worldwide. The most serious cases involve nickel-sized 20 mm lithium batteries which are found in remotes, key fobs, greeting cards, children's books, scales, and other common household items. These batteries can get stuck in the child's throat and burn through the oesophagus in as little as 2 h. Repairing the damage is painful and can require feeding tubes, breathing tubes and multiple surgeries. In some cases, children have died. Purpose The aim of this study is to measure parental awareness of the danger associated with button batteries and describe prevention campaigns underway in four countries. Methods A total of 557 USA parents of children ages six and under were interviewed online during February/March 2012. Results More than two-thirds of parents surveyed (68%) feel that button batteries pose a high level of danger. After learning about this issue, parents say they are highly likely to keep devices with button batteries out of reach of children (82%) secure devices with battery compartments (79%) and encourage other parents to do the same (66%). Conclusions As coin-sized lithium batteries became more widely used in household products, Safe Kids Worldwide member countries have partnered on a campaign called The Battery Controlled to raise awareness and change behaviour among adult caregivers about this little-known and emerging risk to small children.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.334
Teacher spread0.319 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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