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Record W2096567408

Our blood your money.

2013· article· en· W2096567408 on OpenAlexaboutno aff
John Hedley‐Whyte, Debra R Milamed

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsBattleMedicineEconomic shortageBlood supplyQueen (butterfly)Blood transfusionAncient historyManagementEconomic historyLawHistoryPolitical scienceSurgeryGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Biggart was known to Churchill from their 1926 post-prandial encounter in Belfast.The United States in 1941 determined that they were not able or prepared to fly U.S.-donated blood to Europe or Africa.The shortage of whole blood for United States forces required Whitby's ABTS to supply all the blood for the Mediterranean Theatre and in Europe from the St. Lô breakout from Normandy until after the capture of Brussels on September 3, 1944 and then again in December 1944 for the Battle of the Bulge.Winston S. Churchill took Whitby to Quebec in September 1944 to meet with President Roosevelt and the combined U.S. Chiefs of

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.561
Threshold uncertainty score0.626

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.5610.498

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 head0.084
GPT teacher head0.213
Teacher spread0.129 · 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

Citations11
Published2013
Admission routes1
Has abstractyes

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