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Record W2766384074 · doi:10.24095/hpcdp.37.10.07f

Aperçu - Surveillance par sentinelle des blessures associées aux brosses à barbecue traitées dans des services d’urgence : la plate-forme électronique du Système canadien hospitalier d’information et de recherche en prévention des traumatismes, 2011-2017

2017· article· fr· W2766384074 on OpenAlexaffvenueabout
Deepa P. Rao, T. Minh, Jennifer Crain, Steven McFaull, Rebecca Stranberg, T Mersereau, Wendy Thompson

Bibliographic record

VenuePromotion de la santé et prévention des maladies chroniques au Canada · 2017
Typearticle
Languagefr
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsCommunications Security EstablishmentHealth CanadaPublic Health OntarioUniversity of TorontoPublic Health Agency of Canada
Fundersnot available
KeywordsHumanitiesGynecologyMedicinePhilosophy

Abstract

fetched live from OpenAlex

Une brosse à barbecue (BBQ) est un article de ménage très courant destiné à nettoyer les grilles de BBQ. Les données de la base de données de la plate-forme électronique du Système canadien hospitalier d’information et de recherche en prévention des traumatismes (eSCHIRPT) ont été analysées afin d’estimer la fréquence des blessures associées aux brosses à BBQ par rapport à l’ensemble des blessures, ainsi que de décrire les caractéristiques associées à ces accidents. Entre le 1er avril 2011 et le 17 juillet 2017, on a observé des blessures associées aux brosses à une fréquence de 1,5 cas par 100 000 cas dans l’eSCHIRPT (N = 12). Les résultats indiquent qu’outre les risques associés à l’ingestion de poils tombés de la brosse à BBQ et attachés aux aliments, ces poils pourraient aussi causer des blessures par d’autres mécanismes.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.334
Teacher spread0.308 · 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.

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
Published2017
Admission routes3
Has abstractyes

Explore more

Same venuePromotion de la santé et prévention des maladies chroniques au CanadaSame topicTraumatic Ocular and Foreign Body InjuriesFrench-language works237,207