[Present condition of lung transplantation candidates in eastern Japan].
Bibliographic record
Abstract
We investigated the present condition of lung transplant candidates and the familiarity of doctors in eastern Japan by questionnaire. We shipped questionnaires to 614 hospitals in the Hokkaido district, the Tohoku district, the Kanto district and Niigata Prefecture, a received responses from 216 departments (200 hospitals). The percentage of respondents was 32.6%. There were 191 lung transplant candidates, 97 men and 94 women, in the past two years. Moreover, there were 45 patients with primary pulmonary hypertension (PPH), 38 with idiopathic pulmonary fibrosis, 23 with pulmonary emphysema, 20 with pulmonary lymphangiomyomatosis, among others. Currently, however, there are 88 patients who are lung transplant candidates, a large number, in eastern Japan. On the other hand, only 38 of 68 departments had informed their patients about lung transplantation. It was a lamentable result for transplant surgeons, and points urgently to the importance of giving information about lung transplantation.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".