Recurrence-free patient who underwent surgery after pembrolizumab combination chemotherapy for locally advanced pulmonary pleomorphic carcinoma with high PD-L1 expression
Bibliographic record
Abstract
症例は70歳男性．急激な増大傾向を呈する左上葉肺腫瘤を認め，CT下肺生検で肺原発多形癌の診断となった（cT3N0M0，PD-L1：TPS100%）．肺尖部胸壁浸潤が疑われ放射線治療を含む集学的治療を検討したが，腫瘍腹側に植え込み型除細動器が存在したため，Pembrolizumab併用化学療法を行うこととした．しかし薬剤性を疑う間質性肺炎を発症したため化学療法の継続が困難となった．一方で腫瘍縮小は得られておりこの時点で手術を追加した．最終診断は肺多形癌（ypT1miN0M0）でEf2．術後4年現在無再発生存中である．
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".