A Validated Brow Positioning Grading Scale
Bibliographic record
Abstract
BACKGROUND: One of the first areas to show facial aging is the periorbital region, where brow malposition contributes to the overall appearance of aging. Movement and positioning of the brows are also sex specific. Men may desire a low brow, whereas women may prefer high, arched brows. OBJECTIVES: To develop the Brow Positioning Grading Scale for objective quantification of eyebrow position and to establish the reliability of this photonumeric scale for clinical research and practice. MATERIALS AND METHODS: A 5-point photonumeric rating scale was developed to objectively quantify positioning of eyebrows at rest. Nine experts rated photographs of 35 subjects twice with regard to positioning of the eyebrow in comparison with morphed images. Inter- and intrarater variability was assessed by computing intraclass correlation coefficients. RESULTS: Bubble plots (bivariate scatter plots) demonstrated linearity in judgment by the experts. The test-retest correlation coefficients were acceptable for each expert. CONCLUSION: The 5-point photonumeric scale generated spans the positioning of the eyebrow for which patients commonly seek correction. The scale is well stratified for consistent rating.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".