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Record W2349344359

Reliability of vancouver scar scale

2006· article· en· W2349344359 on OpenAlexaboutno aff
Haiyan Cao

Bibliographic record

VenueZhongguo kangfu yixue zazhi · 2006
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsIntraclass correlationReliability (semiconductor)Hypertrophic scarInterclass correlationScale (ratio)Correlation coefficientMedicineSurgeryStatisticsMathematicsReproducibilityCartographyGeographyPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

Objective:To test the reliability of the Vancouver Scar Scale(VSS) assessing the hypertrophic scar and supply objective basis to domestic clinical application.Method:32 cases of burn patients with 84 hypertrophic scar were assessed independently by two assessors using the VSS twice in one week. The reassessed reliability of VSS was checked by intraclass correlation coefficient.In addition, the Crobath α reliability coefficient was got by computer that was used to check the inner continuity.Result:The Crobath α reliability coefficient of VSS was 0.84.The intraclass reliability ICC was 0.776-0.900.The interclass reliability ICC was 0.768-0.936.Conclusion:The inner continuity of VSS and it′s reassessed reliability of assessing the hypertrophic scar after burn is good.

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)0.006
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.042
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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 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

Citations7
Published2006
Admission routes1
Has abstractyes

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