Bibliographic record
Abstract
神経内分泌腫瘍は内分泌細胞を発生母地として全身に発生するが，消化器領域では膵臓と消化管が好発部位であり，膵・消化管神経内分泌腫瘍（gastroenteropancreaticneuroendocrine neoplasms：GEP-NEN）と総称される。希少疾患であるが，近年の疫学研究から疾患頻度の明らかな増加が報告されている1 ）2 ）。高分化型の神経内分泌腫瘍（neuroendocrine tumor：NET）と低分化型の神経内分泌がん（neuroendocrine carcinoma：NEC）に大別され，基本となる病理分類の理解が必須である。また，分子標的薬やソマトスタチンアナログの登場，内視鏡治療や外科治療の進歩も相まって，GEP-NENの集学的治療が大きく進歩している。GEP-NEN診療において，これらの多様化した治療法を適切に選択するには，正確な診断が何より重要であり，ホルモン産生能の評価，画像診断と組織学的診断がその中心となる。本稿では，2019年に改訂された膵・消化管神経内分泌腫瘍（NEN）診療ガイドライン第２ 版（以下，GEP-NEN診療ガイドライン）や病理組織学的分類（WHO分類）も踏まえて，GEP-NEN診断の進歩や今後の展望について概説する。
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.006 |
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; both teacher heads agree on what is shown here.
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".