2 of 3 dimensional rating scales were useful for discriminating anxiety and depression in adolescents
Bibliographic record
Abstract
Dierker LC, Albano AM, Clarke GN , et al. Screening for anxiety and depression in early adolescence. J Am Acad Child Adolesc Psychiatry2001 Aug; 40 : 929 –36 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In grade 9 adolescents, what is the diagnostic and discriminative accuracy of 3 dimensional rating scales for detecting anxiety and depressive disorders? Blinded comparison of 3 rating scales with a DSM-IV diagnosis. 5 high schools in Portland, Oregon; Louisville, Kentucky; and Philadelphia, Pennsylvania, USA. 632 adolescents (mean age 14 y, 55% girls) who were in grade 9. Participation was offered to those who scored above the 80th percentile on ≥1 of 3 rating scales (25% agreed) and a random sample of adolescents who scored below the 80th percentile (75% agreed). 72 adolescents received the rating scales and the diagnostic standard. The 3 rating scales were the Center for Epidemiologic Studies—Depression Scale (CES-D), the Revised Children's Manifest Anxiety Scale (RCMAS), and the Multidimensional … [1]: {openurl}?query=rft.jtitle%253DJournal%2Bof%2Bthe%2BAmerican%2BAcademy%2Bof%2BChild%2Band%2BAdolescent%2BPsychiatry%26rft.stitle%253DJ%2BAm%2BAcad%2BChild%2BAdolesc%2BPsychiatry%26rft.aulast%253DDierker%26rft.auinit1%253DL.%2BC.%26rft.volume%253D40%26rft.issue%253D8%26rft.spage%253D929%26rft.epage%253D936%26rft.atitle%253DScreening%2Bfor%2Banxiety%2Band%2Bdepression%2Bin%2Bearly%2Badolescence.%26rft_id%253Dinfo%253Adoi%252F10.1097%252F00004583-200108000-00015%26rft_id%253Dinfo%253Apmid%252F11501693%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1097/00004583-200108000-00015&link_type=DOI [3]: /lookup/external-ref?access_num=11501693&link_type=MED&atom=%2Febmental%2F5%2F2%2F58.atom [4]: /lookup/external-ref?access_num=000169985800016&link_type=ISI
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".