A Validated Hand Grading Scale
Bibliographic record
Abstract
BACKGROUND Following the popularity of facial cosmetic procedures to reverse the signs of aging, cosmetic procedures that rejuvenate the hand are being sought. Irregular surface pigmentation, prominence of superficial veins and tendons, thinning of the dermis, and loss of subcutaneous fat typically characterize aging of the hand. OBJECTIVES To develop the Hand Grading Scale for objective quantification of the severity of hand aging and to establish the reliability of this photonumeric scale for clinical research and practice. MATERIALS AND METHODS The Hand Grading Scale is a 5-point photonumeric rating scale that was developed to objectively quantify the severity of aging of the hand. Nine experts rated photographs of 35 subjects, twice, with regard to the aspect “hand aging” in comparison with morphed images. Inter- and intrarater variability was assessed by computing intraclass correlation coefficients. RESULTS The agreement between the experts was considerably high. Bubble plots (bivariate scatter plots) demonstrated linearity in judgment by the experts. CONCLUSION The 5-point photonumeric scale generated spans the severity of hand aging for which patients most 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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.014 | 0.003 |
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".