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Record W7015541700

Study on skin pigmentation following burn and skin grafting

2020· dissertation· en· W7015541700 on OpenAlexaboutno aff

Bibliographic record

VenueIRIS · 2020
Typedissertation
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsSkin colorSkin graftingContext (archaeology)Informed consentSkin type
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Studies evaluating the relevant factors that affect skin graft changes in color over time in burned children have yet to be published OBJECTIVE: To conduct a study evaluating the skin color of infants victims of burns, and to follow how it evolves throughout time. The study will concern burned skin, grafted skin, skin where the graft was harvested and sane skin as a reference for comparison. MATERIALS AND METHODS: We will first have the acceptance of the local ethics committee. Children will be recruited during their routine appointments. A consent form will in all cases be signed by the child’s representative. The skin analysis will be done throughout the use of the Vancouver Scar Scale, the Fitzpatrick scale, a dermatospectrometer and laser Doppler Imaging. Measurements will compare the grafted skin to the contralateral sane body part, and then the graft’s donor sites. RESULTS: Due to the sanitary context of the year 2020, only very partial measurements have been realized, mostly because the physiotherapists responsible for the measurements were not available. Therefore, there is no exploitable data to be analyzed at this point in time. Even though, the ethics committee agreement and the materials necessary to the study are ready and will allow us to begin as soon as the situation normalizes. CONCLUSION: The study will follow its course in the upcoming years, and later results should prompt a publication if they offer viable insight on the subject.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.453
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

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

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 head0.029
GPT teacher head0.342
Teacher spread0.312 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueIRISSame topicBurn Injury Management and OutcomesFrench-language works237,207