Bibliographic record
Abstract
筋萎縮性側索硬化症（ALS）は，病態解明が進み，治験薬の開発が進められている。その成功には，早期診断，早期介入が必要である。ALSを早期診断するためには，神経科学の知識と臨床の知識をつなぎ，本症に早く気付く必要がある。本症の筋力低下の分布には特徴があり，上腕が比較的スペアされ，split handがあれば強く疑う。電気生理学的には，経頭蓋磁気刺激法が上位運動ニューロン障害を捉える点で，神経反復刺激試験での僧帽筋の漸減現象は早期の運動神経障害を検出する点で期待される。血清，髄液中のリン酸化したニューロフィラメントは神経障害のマーカーとなる可能性がある。これらによる早期診断手法の開発が望まれる。
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".