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Novel Strategies for Immunomodulation after Trauma: Revisiting Hypertonic Saline as a Resuscitation Strategy for Hemorrhagic Shock

2000· review· en· W2025105978 on OpenAlexaffabout
Ori D. Rotstein

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2000
Typereview
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsHypertonic salineMedicineResuscitationLibrary scienceFamily medicineEmergency medicineAnesthesia

Abstract

fetched live from OpenAlex

From the Department of Surgery, Toronto General Hospital and University of Toronto, Toronto, Ontario Canada. Submitted for publication February 23, 2000. Accepted for publication February 24, 2000. Supported, in part, by the Medical Research Council of Canada and the Defense and Civil Institute for Environmental Medicine. 1999 Fraser Gould Lecture presented at the Annual Meeting of the Trauma Association of Canada at the Royal College of Physicians of Canada, September 23–25, 1999, Montreal, Quebec, Canada. Address for reprints: Ori Rotstein, MD, Toronto General Hospital, 200 Elizabeth Street, Toronto, Ontario EN9 232, Canada; E-mail: [email protected]

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.060
GPT teacher head0.391
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations79
Published2000
Admission routes2
Has abstractyes

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