Examination of the Effects of Intensive Physiotherapy in Children with Cerebral Palsy
Bibliographic record
Abstract
脳性麻痺GMFCS (Gross Motor Function Classification System)レベルIII14例,IV19例,初回評価年齢は平均4歳6ヵ月に対して,平均2ヵ月間の入院集中訓練を繰り返し実施し,入院時と退院時にGMFM (Gross Motor Function Measure)を用いて評価した.GMFCSレベルIII(初回評価GMFM平均52.6)では集中訓練期間平均2.1ヵ月でGMFMは平均3.7%,退院後外来通院期間平均8.6ヵ月で平均-0.9%の変化であった.レベルIV(初回評価GMFM平均28.8)でも平均1.9ヵ月で平均2.1%,退院後外来通院期間平均11.3ヵ月で平均1.0%の変化であり,繰り返し集中訓練を実施することにより階段状に機能の向上がみられた.粗大運動に対する集中訓練効果は特に6歳頃までが著明で,十分な訓練治療を受けてきた例であれば,7歳以後は間欠的な入院集中訓練治療により粗大運動機能の低下を防止することが重要となる.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".