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Record W2389082328 · doi:10.1097/bcr.0000000000000331

Pediatric Burns from Glass-Fronted Fireplaces in Canada

2016· article· en· W2389082328 on OpenAlexaffabout
Jay Toor, Jennifer Crain, Charis Kelly, Joel Fish

Bibliographic record

VenueJournal of Burn Care & Research · 2016
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsUniversity of TorontoBC Children's HospitalHospital for Sick ChildrenUniversity of British ColumbiaPublic Health Agency of CanadaUniversity of Ottawa
Fundersnot available
KeywordsMedicineSick childLibrary scienceFamily medicinePediatrics

Abstract

fetched live from OpenAlex

There is an alarming lack of public awareness surrounding the safety of glass-fronted fireplaces. This has resulted in an active campaign from the American Burn Association Prevention Committee. One issue encountered while advocating for prevention among manufacturers is the lack of corroborating and accurate data. The purpose of this study was to examine the annual trends and epidemiology of glass-fronted fireplace-related burn injuries to children less than 15 years old, who presented to Canadian emergency departments between 1990 and 2010. Records of pediatric burn injuries related to glass-fronted fireplaces were extracted from the Canadian Hospitals Injury Reporting and Prevention Program database for the study period (1990-2010). Cases were analyzed in terms of anatomic area affected, demographics, seasonality, safety device use, and injury severity. A total of 616 cases of burns from glass-fronted fireplaces were identified. The incidence increased at an average of 2.7 cases per year. This is a greater than 20-fold increase over 20 years. Seventy-five percentage of the cases occurred in children less than 2 years, and 95% occurred in children less than 5 years. The study demonstrated a growing risk from glass-fronted fireplace burns, likely due to the increasing popularity of household gas fireplace units. These units are a particular risk to children less than 2 years, attributable to their developing mobility and reduced reaction time. This is a preventable injury that should be addressed through changes to legislation and manufacturing.

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)0.001
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 score0.150
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.345
Teacher spread0.305 · 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

Citations8
Published2016
Admission routes2
Has abstractyes

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