Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Botulinum toxins, originally used for facial rejuvenation, have emerged as a promising tool for sculpting and refining contours for both the face and body. METHODS: The peer-reviewed literature on neuromodulator contouring treatments was analyzed, with a particular emphasis on studies and case reports involving the use of botulinum toxin type A. RESULTS: Modification of face, neck, shoulder, arm, and calf contour has been reported. Treatment and dosing protocols vary with the strength and depth of the target muscle. Regional effects of neuromodulator treatment begin to appear approximately 2 weeks after injection and are often most prominent at the 70- to 90-day time point. Although treatments are generally well tolerated, short-term muscle weakness and other side effects may occur. CONCLUSION: The use of neuromodulators to enhance facial and body contours has demonstrated efficacy, but further research is needed to validate their use and explore the full potential of this intervention through larger randomized controlled trials. The application of neuromodulators as a minimally invasive tool to address the rising demand for nonsurgical body sculpting represents a promising frontier in aesthetics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".