INVESTIGATION OF THE TEST CHARACTERISTICS OF TWO SCREENING TOOLS IN COMPARISON TO A GOLD STANDARD ASSESSMENT TO DETECT DEVELOPMENTAL DELAY: A PILOT STUDY
Bibliographic record
Abstract
There is minimal information available regarding test characteristics of the Rourke and the NDDS, two tools commonly used to screen for developmental delay. The objectives are to (a) generate preliminary descriptive data about the population and outcomes of interest, (b) determine test characteristics of the tools compared to the gold standard assessment, BSITD-III. Thirty-six month old children at high risk of developmental delay were recruited from the Perinatal Follow-up Program at the IWK Health Centre in Halifax, NS. The Rourke and NDDS results were obtained via parental report, the BSITD-III via clinical assessment. Results suggest that both tools may possess appropriate test characteristics to screen for developmental delay. Both perform more accurately when the criterion for delay is extended to two flagged areas of concern on the assessment tools. In conclusion, both tools appear to be sensitive to detecting developmental delay. Further investigation via a full scale study is warranted.
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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 | 0.028 | 0.101 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".