The ASQ and R-PDQ telephone-administered validation within the OTIS antidepressant in pregnancy study.
Bibliographic record
Abstract
This study aimed to assess the telephone administration of the 12-month Ages and Stages Questionnaire (ASQ) and the 9- to 24-month Revised Prescreening Denver Questionnaire (R-PDQ) using the Antidepressants in Pregnancy Study cohort from the Organization of Teratology Information Specialists. The ASQ includes five domains (communication, gross motor, fine motor, problem-solving, and personal-social). The R-PDQ tests four areas of development (gross motor, fine motor, personal-social, and language). Both instruments were self and telephone-administered to mothers at 12 months postpartum. Concordance between the telephone and self-administration was assessed with intraclass correlation coefficients (ICCs) with 95% CIs. For the ASQ, concordance between test scores was substantial for the communication scale (ICC = 0.76, 95% CI [0.63, 0.85]), almost perfect for the gross motor scale (ICC = 0.83, 95% CI [0.73, 0.89]), and moderate for the fine motor, problem-solving, and personal-social scales (ICC = 0.43, 95% CI [0.19, 0.61]; ICC = 0.42, 95% CI [0.19, 0.61]; and ICC = 0.50, 95% CI [0.29, 0.67], respectively). Regarding the R-PDQ, concordance between test scores was as follows: gross motor (ICC = 0.90, 95% CI [0.83, 0.94]), language (ICC = 0.57, 95% CI [0.36, 0.73]), and personal-social scales (ICC = 0.26, 95% CI [0.00, 0.49]). For the fine motor scale, the correlation between both modes was 100%. The 12-month ASQ telephone administration could be an alternative for children developmental screening. Except the personal-social scale, the 9- to 24-month R-PDQ could be telephone-administered for prescreening development.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".