Bibliographic record
Abstract
In the first of this two-part article on the 'optimum mobility' facelift, facial tissue mobility was analyzed, and three theories or mechanisms emerged: 'intrinsic mobility', 'surgically induced mobility' and 'optimum mobility points'.In this second part, these three theories are applied to a rhytidectomy procedure termed 'optimum mobility' facelift.Before surgery, 'optimum mobility points' are marked on the skin.During surgery, the subcutaneous dissection is kept to a minimum by carrying it out precisely to these 'optimum mobility points'.The facial tissues, with their skin and superficial musculoaponeurotic system attachments intact, are then mobilized laterally using the 'intrinsic mobility' phenomenon, and this mobilization fixed in place using mattress sutures.The 'optimum mobility' facelift is an efficient rhytidectomy technique that has a thoughtful, precise plan, a low complication rate, a fast recovery and very satisfactory results.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".