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Record W1997581659 · doi:10.1097/pap.0b013e31820ca329

The Medical Mystery of Napoleon Bonaparte

2011· article· en· W1997581659 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in Anatomic Pathology · 2011
Typearticle
Languageen
FieldMedicine
TopicMethemoglobinemia and Tumor Lysis Syndrome
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersLaboratori Nazionali del Gran Sasso
KeywordsBattleCause of deathMedicineHistoryAncient historyAutopsySAINTDiseasePathologyArt history

Abstract

fetched live from OpenAlex

Napoleon Bonaparte (1769 to 1821) is one of the most studied historical figures in European history. Not surprisingly, amongst the many mysteries still surrounding his person is the cause of his death, and particularly the suspicion that he was poisoned, continue to intrigue medical historians. After the defeat of the Napoleonic Army at the battle of Waterloo in 1815, Napoleon was exiled to the small island of Saint Helena in the South Atlantic, where he died 6 years later. Although his personal physician, Dr François Carlo Antommarchi, stated in his autopsy report that stomach cancer was the cause of death, this diagnosis was challenged in 1961 by the finding of an elevated arsenic concentration in one of Napoleon's hair samples. At that time it was suggested that Napoleon had been poisoned by one of his companions in exile who was allegedly supported by the British Government. Since then Napoleon's cause of death continues to be a topic of debate. The aim of this review is to use a multidisciplinary approach to provide a systematic and critical assessment of Napoleon's cause of death.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.293
Teacher spread0.277 · 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