Positive End-Expiratory Pressure in Acute Respiratory Distress Syndrome
Bibliographic record
Abstract
Interdepartmental Division of Critical Care Medicine, University of Toronto; and, Division of Respirology, Department of Medicine, University Health Network, Toronto, ON, Canada Keenan Research Center, Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Toronto, ON, Canada, CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain; and Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; and, Keenan Research Center, Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Toronto, ON, Canada * See also p. 252. Dr. Goligher received grant support from Canadian Institutes of Health Research Fellowship. His institution received grant support from PSI Foundation (grant supporting research on VIDD). Dr. Slutsky has a grant from Canadian Institutes for Health Research (CIHR) to study Ventilator-Induced Lung Injury; consults for Maquet Medical which markets ventilators; served as an author on references (4, 5, 12) and could be viewed as having an academic conflict of interest in relation to PEEP; and received support for article research from CIHR. His institution received grant support from the CIHR. Dr. Villar has disclosed that he does not have any potential conflicts of interest.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".