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Record W4361209196 · doi:10.1097/nmd.0000000000001611

Can Cotard Syndrome Be Induced?

2023· article· en· W4361209196 on OpenAlexaff
Émmanuel Stip, Mohammed AlAhbabi, Danilo Arnone, Karim Abdel Aziz, Leena Amiri, Syed Fahad Javaid

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2023
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDenialMeaning (existential)Unconscious mindPsychoanalysisMedicineSoulNegationPsychologyOrgan transplantationTransplantationPsychotherapistSurgeryPhilosophyEpistemology

Abstract

fetched live from OpenAlex

ABSTRACT: Cotard syndrome is a rare condition characterized by delusions ranging from a belief that one has lost organs to insisting that one has lost one's soul or is dead. This is the report a case of a 45-year-old man who was comatose after an attempted suicide. This was initially diagnosed as brain death and use of his organs for transplantation was actively considered. However, he awakened days later with new-onset Cotard syndrome. It remains difficult to know the link, unconscious or conscious, between this patient's delusions and the fleeting intention of doctors who intended to transplant his organs. This is the first description of a coincidence between delusional denial of an organ and the potential medico-surgical act of having an organ removed. This case is an opportunity to revisit the philosophical concepts of negation and nihilism. A multidisciplinary reflection is needed to give meaning to other clinical presentations.

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)0.004
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.024
GPT teacher head0.278
Teacher spread0.254 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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