Bibliographic record
Abstract
A serious decision is urged on families and doctors about treatment and the life-prolonging procedure in the infant with serious illness, patients with the end.stage cancer, the senior citizen or the newborn baby with the serious illness trouble whose recovery cannot be expected. It has been divided among the medical institutions how the life-prolonging procedure should be done to the patient and the child with a hopeless current state. There have appeared some institutions in which hospital indicator or ethical committee for the interests of patients has been set up. The indicator in the United States and Canada decided that cooperation between family and physician is necessary when they decide the discontinuation of the life-sustaining treatment. However, there is a point of problem that the policy is perhaps different in one hospital to another. The author experienced pediatric patients with serious newborn disease or end stage of malignant disease in whom the life-prolonging medical treatment were stopped. In this paper, I consider the judge in the medical treatment done on each occasion to be correct or not by comparing them with a present indicator. In addition, I turn around about the selective treatment stop and the terminal care in the future.
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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 | 0.019 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".