DSM-5 Field Trials in the United States and Canada, Part III: Development and Reliability Testing of a Cross-Cutting Symptom Assessment for DSM-5
Bibliographic record
Abstract
OBJECTIVE: The authors sought to document, in adult and pediatric patient populations, the development, descriptive statistics,and test-retest reliability of cross-cutting symptom measures proposed for inclusion in DSM-5. METHOD: Data were collected as part of the multisite DSM-5 Field Trials in large academic settings. There were seven sites focusing on adult patients and four sites focusing on child and adolescent patients.Cross-cutting symptom measures were self-completed by the patient or an informant before the test and the retest interviews, which were conducted from 4 hours to 2 weeks apart. Clinician-report measures were completed during or after the clinical diagnostic interviews. Informants included adult patients, child patients age 11 and older, parents of all child patients age 6 and older, and legal guardians for adult patients unable to self-complete the measures. Study patients were sampled in a stratified design,and sampling weights were used in data analyses. The mean scores and standard deviations were computed and pooled across adult and child sites. Reliabilities were reported as pooled intraclass correlation coefficients (ICCs) with 95% confidence intervals. RESULTS: In adults, test-retest reliabilities of the cross-cutting symptom items generally were good to excellent. At the child and adolescent sites, parents were also reliablereporters of their children’s symptoms,with few exceptions. Reliabilities were not as uniformly good for child respondents, and ICCs for several items fell into the questionable range in this age group. Clinicians rated psychosis with good reliability in adult patients but were less reliable in assessing clinical domains related to psychosis in children and to suicide in all age groups. CONCLUSIONS: These results show promising test-retest reliability results for this group of assessments, many of which are newly developed or have not been previously tested in psychiatric populations
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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 | 0.096 | 0.081 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".