Bayley Scales of Infant Development Screening Test-Gross Motor Subtest
Bibliographic record
Abstract
PURPOSE: To identify the efficacy of the Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III), Screening Test-Gross Motor Subtest (GMS) in identifying infants who are accepted for early intervention services. METHODS: This retrospective study included 93 infants with a neonatal intensive care experience who participated in a 6-month developmental assessment follow-up visit. All infants were examined using the BSID-III Screening Test-GMS and the Alberta Infant Motor Scale. A binary logical regression analysis was used to determine the best predictors of acceptance status in this sample. RESULTS: The BSID-III Screening Test-GMS accounted for a significant portion of the variance in acceptance status. CONCLUSION: The results suggest that the BSID-III Screening Test-GMS has great applicability for transdisciplinary/interdisciplinary teams as it effectively identified children who were eligible for early intervention.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".