Eating Disorder Symptom Severity Scale: A New Clinician Rated Measure
Bibliographic record
Abstract
This study describes the development and validation of the clinician-rated Eating Disorder Symptom Severity Scale (EDS3), created to address a gap in measurement options for youth with eating disorders. The EDS3 is modeled on the Childhood Severity and Acuity of Psychiatric Illness Scales (Lyons, J. S, 1998 Lyons, J. S. 1998. “The Severity and Acuity of Psychiatric Illness Scales Manual – Child and adolescent version”. In San Antonio, Harcourt Brace & Company, TX: The Psychological Corporation. [Google Scholar]). Factor analysis revealed a 5-factor solution and accounted for 78% of the variance, and internal consistency within the subscales was good (Cronbach alphas: 0.69 to 0.93). The EDS3 is a valid and reliable measure designed for clinicians to help assess the severity of a youth's eating disorder and to facilitate outcomes research.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".