A Feasibility Study of a Video-Based Application by Parents of Infants Born Full-Term and Preterm
Bibliographic record
Abstract
PURPOSE: To examine the factors that influence the usability of a video-based mobile application (app) by parents of infants born full-term and preterm. METHODS AND PROCEDURES: This study enrolled 75 infants born full-term and 47 infants born preterm for the Alberta Infant Motor Scale (AIMS) assessment at ages 4, 6, 8, 10, 12, and 14 months. Their parents were asked to upload home videos of AIMS items using the newly designed Baby Go app at ages 5, 7, 9, 11, and 13 months. Information from the videos will be used for future artificial intelligence modeling. Infant and socioenvironmental variables were examined as potential influencing factors. RESULTS: Eighty-two parents (67.2%) uploaded 1406 home videos. Multivariate logistic regression analysis revealed that medical issues and the number of children were significantly associated with parental adherence to app use. CONCLUSIONS: Medical issues and having no siblings enhanced parental adherence to video uploading via the app.
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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".