Toward a quantified assessment of total body surface area from anthropometric measurements for patients with burn injuries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The amount of replacement fluid a burn patient requires to survive depends on the ratio (RBSA) of burned body surface area to the total body surface area (TBSA). The 2D methods used by clinicians are imprecise. In this paper, preliminary result of a proposed approach using anthropometric measurements and MakeHuman (MH) software to evaluate RBSA is presented. To assess RBSA accurately with a personalised 3D model of the burn patient, a first critical step is to find a limited set of measures for TBSA assessment. 20 anthropometric measurements were acquired virtually on 40 3D models generated with MH software. Using several multiple regression analyses, it was demonstrated that four to seven measures are sufficient to obtain an accurate TBSA. These preliminary results highlight the relevance of using software such as MH, to assess TBSA of patients with major burn injuries based on a limited set of measures.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it