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Record W4387946501 · doi:10.5430/jnep.v14n2p25

Burns and posttraumatic stress disorder: What's being done

2023· article· en· W4387946501 on OpenAlexvenueno aff
Derek Lamar Holt, Brigitta Strutchen

Bibliographic record

VenueJournal of Nursing Education and Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPosttraumatic stressBurn injuryMedicineQuality of life (healthcare)Physical therapyPsychologyPhysical medicine and rehabilitationPsychiatrySurgeryNursing

Abstract

fetched live from OpenAlex

Burn injuries can be a life-shattering event causing significant physical impairment. Burn survivors suffer from changes in appearance and body function. The perception of burn injuries has transformed from permanent disability to now rehabilitative. Through ever-evolving technology coupled with enhanced clinical assessments, burn injuries are seen through the lens of being more than physical. This article aims to keep non-burn experts abreast of what is being done to address the psychological effects of burn injuries. This article discusses different screening and diagnostic instrumentation for assessing posttraumatic stress disorder as well as treatment options for clinicians encountering burn survivors. Early detection of posttraumatic stress disorder symptomology and aggressive treatment are essential in improving the quality of life of those who have suffered a burn trauma.

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)0.003
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0040.006
Open science0.0010.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.066
GPT teacher head0.424
Teacher spread0.358 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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