Validation of the Motor Functional Development Scale for Young Children to predict motor outcome in preterm infants: A 2 years follow-up study
Bibliographic record
Abstract
OBJECTIVE: To examine the validity of the Motor Functional Development Scale for Young Children (DF-mot) to predict motor developmental delays in preterm infants. METHOD: This retrospective cohort study includes 67 preterm infants who were assessed at 3-5 months by the DF-mot and the Alberta Infant Motor Scale (AIMS); and at 22-25 months by the Bayley Scales of Infant-Toddler Development (Bayley-III). The properties of the DF-mot and the AIMS were examined based on their ability to predict motor delays on the Bayley-III. RESULTS: The DF-mot gross motor subscale -2 SD and the AIMS 10th centile showed best balance between sensitivity and specificity (respectively Se = 57.1%, Sp = 71.7% and Se = 50%, Sp = 73.5%). Overall, the DF-mot fine motor subscale fails to predict motor delays. CONCLUSION: The DF-mot shows a lack of sensitivity and of positive predictive value to accurately predict motor outcome at 2 years in preterm infants. ABBREVIATIONS: CA, Corrected age; AIMS, Alberta Infant Motor Scale; DF-mot/PML, Motor Functional Development Scale for Young Children postural motor locomotor; DF-mot/EHGC, Motor Functional Development Scale for Young Children eye-hand grip coordination; Bayley-III/GM, Gross motor subscale of the Bayley Scales of Infant-Toddler Development Third Edition; Bayley-III/FM, Fine motor subscale of the Bayley Scales of Infant-Toddler Development Third Edition.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 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".