In vivo lung perfusion as a platform for organ repair in acute respiratory distress syndrome
Bibliographic record
Abstract
Acute respiratory distress syndrome (ARDS) is characterized, according to the most recent Berlin definition, by acute onset of hypoxemia (PaO 2 /FiO 2 ≤300) and bilateral pulmonary radiographic opacities, not primarily caused by left heart failure (1). This severe clinical condition culminates from a catastrophic inflammatory response following a direct or indirect acute insult to the lung. A recent global epidemiological investigation showed that there are greater than 3 million ARDS patients per year receiving mechanical ventilation in intensive care units. While intensive care capabilities have advanced significantly, mortality in ARDS patients has not significantly diminished and remains unacceptably high, exceeding 40% in those with the most severe form (2,3). Moreover, survivors have a high risk of experiencing post-traumatic stress disorder and functional deconditioning, which may significantly decrease their quality-of-life (4).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".