Bibliographic record
Abstract
Physiology of death in relation to the transplant program, MUDr. Matouš Schmidt Summary Introduction: The physiological processes associated with dying are well known, nevertheless there is very little scientific data describing these events in greater depth during the perimortal period. However, the data taken from this period may be important for a better understanding of post-mortem organ donation and for establishing a safe interval between circulatory arrest and initiation of organ delivery of DCD donors. The definition of death is based on its irreversibility. When death occurs, it is determined by proof of circulatory arrest. This means the exclusion of any possible spontaneous resumption of circulation (so-called autoresuscitation). This phenomenon has been reported in individual cases but has not yet been the subject any extensive scientific research. The scientific goal of this work was to describe the physiological processes during dying. It focuses on two main areas: firstly, circulatory death (including the phenomenon of autoresuscitation) and secondly, the metabolic change of ions and the acid-base balance during the perimortal period. Methodology: The research was conducted as part of an international academic prospective multicentre study (conducted in Canada, the Czech Republic, and the...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".