Bibliographic record
Abstract
近年，生物学的製剤の導入により関節リウマチ（RA）の治療戦略は大きく変化し，寛解が現実的な治療目標となったが，一方で，治療の進歩に伴う医療費の高騰は，患者のみならず重要な社会的負担となっている。RAの医療費は，機能障害進行やQOL低下に伴い高額となるため，発症早期からきちんと疾患活動性を抑制できれば，身体機能障害も進まず，結果的に直接費用のみでなく，間接費用も含めた生涯の医療費が軽減する可能性が示唆される。使用する薬剤の臨床的効果と経済的効率の両面を評価し，薬剤費用に見合った価値があるかどうか分析する薬剤経済評価は，わが国でも高騰する医療費の適正化を考えるうえで，その重要性が認識されつつある。
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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 | 0.002 | 0.004 |
| 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 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".