The Kutcher Generalized Social Anxiety Disorder Scale for Adolescents: Assessment of its Evaluative Properties Over the Course of a 16-Week Pediatric Psychopharmacotherapy Trial
Bibliographic record
Abstract
OBJECTIVE: This study investigated the psychometric properties of a new clinician-rated scale designed to assess the severity of social phobia and measure treatment outcome in adolescents: the Kutcher Generalized Social Anxiety Disorder Scale for Adolescents (K-GSADS-A). METHODS: Two hundred fifty-one (251) adolescents (11-17 years; mean age 14.2 years) with DSM-IV social phobia enrolled in a multicenter, 16-week, double-blind, placebo-controlled study of paroxetine. Efficacy assessments were conducted at baseline and at weeks 4, 8, 12, and 16 with the K-GSADS-A, three other clinician-rated scales (including the Clinical Global Impression of Severity scale), and a self-rated social phobia scale. Additionally, the Clinical Global Impression of Improvement scale was administered at each postbaseline assessment, and the Children's Depression Rating Scale-Revised was administered at baseline and at week 16. These data were used to assess the internal consistency, convergent and divergent validity, and sensitivity to change of the K-GSADS-A. RESULTS: The internal consistency of the K-GSADS-A was adequate, and supportive evidence was obtained for its convergent validity with other severity measures, and its divergent validity with respect to depression. The K-GSADS-A also demonstrated good sensitivity to changes in severity. CONCLUSIONS: These results suggest that the K-GSADS-A is a valid measure of treatment outcome in adolescents with DSM-IV social phobia.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".