Measuring and managing appearance anxiety in patients with systemic sclerosis
Bibliographic record
Abstract
INTRODUCTION: Systemic sclerosis (SSc, scleroderma) is a progressive, autoimmune, connective tissue disease of unknown etiology that can cause changes in appearance in socially important areas of the body (e.g. face and hands). Social concerns related to changes in appearance can contribute to anxiety specific to situations where one's appearance will be evaluated, or appearance anxiety. Appearance anxiety is a relevant but underexplored construct in SSc. Areas covered: We review the current knowledge on appearance anxiety in SSc, including assessment of the construct and interventions. Relevant references in the field were obtained through a literature search in MEDLINE/PubMed and PsycINFO for articles published through September 2018. Expert commentary: There is a dearth of research in the SSc literature examining the construct of appearance anxiety. A growing interest in appearance anxiety in SSc has led to several relevant measures being validated in this population, including the Social Appearance Anxiety Scale. Important areas for future research are the development of interventions to address appearance anxiety and the use of randomized controlled trials to evaluate these interventions.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.003 | 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 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".