Modification of the Vancouver Scar Scale (VSS) score for Scarring Assessment using Rattus novergicus Abnormal Scar Model
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 abnormal scar is a unique fibrosis disease because it only occurs in humans (Homo sapiens). Researchers now challenge no other animal species, including primates, are found to naturally form scar7, whereas animal models are essential references for human treatment modalities. This study aimed to determine the Modified Vancouver Scar Scale (VSS) score with the addition of collagen density parameters used to assess the scar in experimental animals quantitatively and generates a better assessment of the scar. The cross-sectional analytical survey method was adopted. The experimental animal was Rattus novergicus. The Modified VSS score was applied to assess the normal and abnormal scar data. The Likert categorization guidelines were used to obtain the VSS Score modification score. The collagen density and VSS had a significantly different based on T-test (p <0.05). The differences were also shown by the control and treatment groups. On the correlation analysis, there were the positive coefficient (0.722). The result can be described that the collagen density increases, when the VSS score is high. It also showed the differences based on the score (p <0.05). The Modified VSS score calculation's final results are classified into three groups namely Good (ranged from 0 to 1); Medium (ranged from 2 to 4); and Adverse (ranged from 5 to 6). The Modified VSS score is possibly to be used for the scar assessment to the Rattus novergicus abnormal scar model.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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