Early Liberal Fluids for Sepsis Patients Are Harmful
Bibliographic record
Abstract
1Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada. 2Division of Critical Care Medicine, Department of Medicine, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada. Dr. Russell received funding from Ferring Pharmaceutical, Asahi Kesai Pharmaceuticals of America, and Cytoval; disclosed off-label product use (Selepressin); and received other support from Grifols La Jolla Pharmaceuticals Cubist (now owned by Merck) Leading Biosciences. He disclosed other support (he reports patents owned by the University of British Columbia [UBC] that are related to PCSK9 inhibitor[s] and sepsis and related to the use of vasopressin in septic shock. He is an inventor on these patents. He is a founder, Director, and shareholder in Cyon Therapeutics [developing a sepsis therapy]. He has share options in Leading Biosciences. He is a shareholder in Molecular You. He reports having received grant support from Ferring Pharmaceuticals that was provided to and administered by UBC). Dr. Genga is sponsored by Science Without Borders Scholarship Program. For information regarding this article, E-mail: [email protected]
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.007 |
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".