Bibliographic record
Abstract
悪性脳腫瘍には，頭蓋内組織から発生する原発性脳腫瘍と転移性脳腫瘍があり，神経膠腫，中枢神経系原発悪性リンパ腫（PCNSL），髄芽腫，胚細胞腫瘍などが主要な腫瘍型である．神経膠腫は原発性脳腫瘍の約3割を占め，その約半数は最も悪性な膠芽腫で5年生存割合が15％と依然致死的である．PCNSLは高齢者に頻発し認知機能障害をしばしば呈するが，治療強度の高い薬物療法の開発で予後が改善してきている．脳腫瘍では神経機能障害を病初期から呈しやすく，また終末期の介護を含めリハビリテーション医療の重要性は高い．本稿では悪性脳腫瘍に関して，現在の診断および治療法ならびに患者支援のあり方などを概説する．
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".