Bibliographic record
Abstract
「膵・消化管神経内分泌腫瘍（NEN）診療ガイドライン」は2015年に第１ 版が出版され，2019年には薬物治療の適応拡大，診断手法の進展を反映して第２ 版が刊行された。遠隔転移に対する集学的治療の重要性を反映して，局所治療は外科治療部門，遠隔転移治療は内科・集学的治療部門に分け，診断ではソマトスタチン受容体シンチグラフィ（somatostatin receptor scintigraphy：SRS）の保険適用を反映したアップデートを行うなど，さまざまな点が更新された。さらに，病理部門においては2019年に改訂された消化器の世界保健機構（World Health Organization：WHO）診断基準を解説し，教科書的な要素も盛り込んだ改訂となっている。本稿では，膵・消化管神経内分泌腫瘍の特徴とガイドライン作成の背景，改訂のポイントを概説する。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".