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Record W2606614304 · doi:10.23907/2015.006

Sudden Unexpected Death in Epilepsy (SUDEP) and Certification

2015· article· en· W2606614304 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

VenueAcademic Forensic Pathology · 2015
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsEpilepsyMedicineForensic pathologyAutopsyCause of deathSudden deathMedical examinerDiseaseIncidence (geometry)PediatricsIntensive care medicineMedical emergencyPsychiatryPoison controlInjury preventionPathologyInternal medicine

Abstract

fetched live from OpenAlex

Sudden and unexpected death in patients with epilepsy is now well recognized. The autopsies in these cases have no anatomical or toxicological findings, so determination of death is based upon history and scene examination, as well as the autopsy and ancillary investigations. The use of the term SUDEP (sudden unexpected death in epilepsy) for these cases has developed since the 1980's, largely driven by researchers in epilepsy. There have been various attempts at definitions of SUDEP. This paper reviews the history of SUDEP, its incidence, proposed mechanisms for its occurrence, and whether the use of the term SUDEP in certification of the cause of death is appropriate or whether theses deaths are correctly certified as epilepsy, as epilepsy is the underlying disease that results in 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)0.000
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.079
GPT teacher head0.349
Teacher spread0.271 · 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