Bibliographic record
Abstract
目的：脳卒中後遺症としての痛みしびれに対する緩和ケア技術の開発を目的に，症状を有する対象者に継続的なケア介入を行いその効果を検証する。 方法：脳卒中後遺症としての痛みしびれ（Visual Analogue Scale 5/10以上）を有する患者１名に対して，週1回2か月間のハンドマッサージを行った。また，任意のプログラムとして5～10分程度のセルフタッチを推奨した。評価指標には，「痛みの程度：VAS（Visual Analogue Scale），SF-MPQ-2（Short-Form McGill Pain Questionnaire-2），鎮痛薬使用の有無・量」「リラクセーション効果：心拍変動」「生活への影響：SIAS（Stroke Impairment Assessment Set），HADS（Hospital Anxiety and Depression Scale）」を用いた。 結果：痛みのVAS値は介入後に低下し，数時間は持続していた。生理指標としての脈拍数や血圧には大きな変化はなかった。心拍数は，介入中に介入前より低下し，副交感神経の活性を示すHF（high-frequency component）も介入中に上昇がみられ，介入中のリラクセーション効果を示していた。また，不安や抑うつ傾向は，2か月後では大きく低下し，痛みの表現においても減少した。以上の事から，週1回のハンドマッサージであっても継続的な介入は，痛み軽減のケア技術としての可能性が示唆された。
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".