MétaCan
Menu
Back to cohort
Record W2556412489 · doi:10.1590/0004-282x20160147

Aliocha Dostoevski’s death during an epileptic seizure

2016· article· en· W2556412489 on OpenAlexaff
Edson José Amâncio, Pedro André Kowacs, Bruno Toshio Takeshita, Fábio A. Nascimento, Hélio Afonso Ghizoni Teive

Bibliographic record

VenueArquivos de Neuro-Psiquiatria · 2016
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStatus epilepticusEpilepsyCulpritFyodorCause of deathMedicinePopulationPsychiatryInternal medicineDiseaseEconomics

Abstract

fetched live from OpenAlex

Mortality due to epilepsy is of great concern worldwide. Individuals with epilepsy have a two- or three-fold risk of death when compared to the general population. Based on biographical data and Anna Grigoriévna Dostoevskaia's memories, the authors concluded that a prolonged episode of status epilepticus was the culprit in the death of young Aliocha, youngest son of Fyodor Mikhailovich and Anna Dostoevski. At the time of Aliocha's death, very limited knowledge about epilepsy or therapeutic resources was available. Despite all the progress, epilepsies remain potentially fatal conditions. The suffering generated by Aliocha's death and other similar cases remains as a challenge for epileptologists who assemble efforts to fight against such conditions.

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)0.000
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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.307
Teacher spread0.282 · 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 designCase report
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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueArquivos de Neuro-PsiquiatriaSame topicEpilepsy research and treatmentFrench-language works237,207