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Record W4297502266 · doi:10.3138/jmvfh-2022-0117

A brief history of Canadian freeze-dried blood products: Ingenuity, collaboration, and leadership

2022· article· en· W4297502266 on OpenAlexvenueaboutno aff
Marcus A. Moore, Andrew Beckett

Bibliographic record

VenueJournal of Military Veteran and Family Health · 2022
Typearticle
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsIngenuityBattlefieldDried bloodShock (circulatory)MedicineBlood productThe RenaissanceSurgeryChemistryInternal medicineAncient historyHistoryEconomics

Abstract

fetched live from OpenAlex

LAY SUMMARY During the Second World War, Canada became a leader in the development and production of products used to treat shock, particularly shock caused by massive bleeds. Canada started the first blood service in response to the need for blood products overseas. This was done in the form of freeze-dried serum, which is made up of fluid-based proteins extracted from blood. Freeze-dried serum could be stored indefinitely and was lightweight, hardy, and easy to deliver both to the battlefield and to the patient. Freeze-dried serum could be provided to patients in shock as a result of losing a large volume of blood. Unfortunately, after the war, freeze-dried blood products fell out of favour over concerns about viral hepatitis. Recently, freeze-dried blood products have enjoyed a renaissance, and Canada is currently developing a new product to meet the challenges of remote resuscitation.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.784

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.007
Science and technology studies0.0090.002
Scholarly communication0.0070.003
Open science0.0020.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0470.013

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 head0.095
GPT teacher head0.276
Teacher spread0.180 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations3
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Military Veteran and Family HealthSame topicTrauma, Hemostasis, Coagulopathy, ResuscitationFrench-language works237,207