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Acidentes na infância e adolescência: uma revisão bibliográfica

2006· review· pt· W1563808791 on OpenAlexaboutno aff
Christine Baccarat de Godoy Martins

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2006
Typereview
Languagept
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsDemographyEnvironmental healthMedicineOccupational safety and healthSuicide preventionInjury preventionGeographyPoison controlPediatricsSociology

Abstract

fetched live from OpenAlex

This study aims at reviewing the literature on accidents among young under the age of 15. Throughout Brazil, lesions and poisonings are responsible for 5 to 6 percent of total internments by the National Health System (SUS), generating 8 percent of the total hospital internment expenses. Sweden and Italy are the countries that have the lowest mortality rates related to external causes among youngsters under the age of 15. The rates of Denmark, Germany and Japan are regarded as intermediate. France, Belgium, Austria and Canada are regarded as countries with high mortality rates related to external causes among youngsters under the age of 15. Brazil together with the United States, Portugal, Mexico and Korea are considered countries with very high mortality rates related to childhood accidents, needing preventive actions. Furthermore, studies reinforce the importance of recognizing the nature and reality of childhood accidents in order to form a diagnosis that helps elaborate and accomplish specific prevention policies.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0170.018
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.073
GPT teacher head0.389
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 designSystematic review
Domainnot available
GenreReview

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

Citations22
Published2006
Admission routes1
Has abstractyes

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