[Synchronous tumors consisted of bronchial carcinoid and adenocarcinoma of the lung].
Bibliographic record
Abstract
We report a case of synchronous tumors consisted of bronchial carcinoid and adenocarcinoma of the lung. A 58-year-old female was referred to our hospital after screening, because an abnormal shadow was noted in the right lung on her computed tomography (CT) of the chest. CT scans showed a peripheral pulmonary mass in the right middle lobe and a nodule around the right lower lobe bronchus. The nodular lesion like swollen lymph node was diagnosed as bronchial carcinoid originated in B6 by bronchoscopy. The pulmonary mass was diagnosed as adenocarcinoma by using core needle biopsy during operation. Right middle and lower bilobectomy and mediastinal lymph node dissection were performed. Coincidence of a bronchial carcinoid and an adenocarcinoma of the same side of the lung is a rare occurrence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".