The Critical Care Canada Forum was held in Toronto,
Bibliographic record
Abstract
recognized conference focuses on topics relevant to the care of critically ill patients, wherever these patients are located. The conference was attended by 1,146 healthcare professionals and featured 191 presentations covering many diverse topics; the results of several clinical trials were presented for the first time and ahead of print. In the present article we summarize some of the highlights of this meeting. Mechanical ventilation Dr Daniel Talmor (Boston, MA, USA) presented, for the first time, the results of a trial of positive end-expiratory pressure titration using esophageal pressure measurements (to estimate transpulmonary pressure) versus positive end-expiratory pressure titration according to the Acute Respiratory Distress Syndrome Network standard-of-care recommendations in patients with acute lung injury or acute respiratory distress syndrome [1]. The study reached its early stopping criterion and was terminated after enrolling only 61 patients; the ratio of the partial pressure of oxygen to the fraction of inspired oxygen at 72 hours was 88 mmHg higher in the esophagealpressure-guided group (95 % confidence interval, 78.1 to 98.3). A dynamic discussion subsequently ensued, during which several audience members applauded the use of physiology-guided mechanical ventilation, while others argued that a multicenter trial studying clinical endpoints meaningful to patients and clinicians should be conducted to confirm the anticipated benefits of positive end-expiratory pressure titration using esophageal probes.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.078 | 0.008 |
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".