Validated Composite Assessment Scales for the Global Face
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
BACKGROUND: Twenty grading scales have been developed to assess age-related facial changes. Until now, the validity with regard to the patient's actual age and the clinical importance of combined measurement tools to describe facial aging was unclear. OBJECTIVE: To investigate the reliability and validity of a total face score and three global face assessment scales for estimated age, estimated aesthetic treatment effort, and signs of aging in the facial units. MATERIALS AND METHODS: Descriptive, reliability, correlation, and principal component analyses based on the assessment of 50 subjects by 12 raters using the 20 grading scales and the global face assessment scales. RESULTS: Inter- and intrarater reliability was high for the total face score and for the scales on estimated age and aesthetic treatment effort. Actual age was highly correlated with these three measures. Facial aging was indicated particularly by scales of the lower face. CONCLUSION: The aesthetic grading scales and global scales on estimated age and aesthetic treatment effort are reliable and valid instruments. The results suggest that a more-comprehensive evaluation of the human face and its age-related changes can help to identify important areas of facial aging and to define optimal aesthetic treatment strategies.
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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 | 0.001 | 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