Bibliographic record
Abstract
Purpose : In this study, we would like to apply oral sensory play therapy program to children with cerebral palsy who have sensitive oral senses to find out the effect on oral sensory ability, oral function, performance ability and sociality. Methods : The subjects of this study were 20 children diagnosed with cerebral palsy, and 10 experimental groups and 10 control groups. Oral sensory play therapy programs, including oral sensory programs, were conducted in the experimental group, while only oral sensory programs were conducted in the control group. Oral Sensory Treatment Level was used to identify the sensory profile and the overall oral function of the oral function was used, and the performance and satisfaction of Canadian occupational performance measure (COPM) were examined to find out the performance of the work, and social skills were examined for social skills (SMS). Results : The level of oral sensory treatment, overall oral function, work performance and sociality all increased significantly in the experimental group, but the oral sense and oral function in the control group were significantly increased, but not significantly in the case of work performance and sociality. Conclusion : Through this study, we confirmed that oral sensory play therapy program is an effective arbitration method for oral sensation, oral function, work performance and social enhancement of children with cerebral palsy. Based on the results of this study, the study of arbitration protocols for children with cerebral palsy with oral sensory problems will have to be more active.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".