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Record W4405459959

[Developing a psychiatrist's flair: Lessons learned from two clinical cases of olfactory reference syndrome].

2024· article· en· W4405459959 on OpenAlexaff
Morganne Masse, Émmanuel Stip

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsUniversité de MontréalInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsFluid-attenuated inversion recoveryPsychologyAudiologyMedicineNeurosciencePsychiatryRadiologyMagnetic resonance imaging
DOInot available

Abstract

fetched live from OpenAlex

Olfaction is often neglected in psychiatric semiology, despite its clinical relevance and impact on social functioning. The olfactory reference syndrome (ORS), characterized by a false belief that a person emits a foul odor, causes severe distress and disrupts social functioning. This article aims to highlight the importance of olfaction in psychiatric semiology, with a focus on ORS. We present a study of two men with ORS, followed in a psychotic disorder unit, using the CARE criteria. A literature review conducted according to PRISMA guidelines examines 53 studies from PubMed, PsychInfo, Google Scholar, and Cairns. By complementing the clinical presentations, our analysis facilitates a discussion of current knowledge on ORS, refuting, nuancing and validating existing hypotheses regarding its nosography and etiology. We suggest to further explore our understanding of olfaction through its association with emotions, the formation of impressions, and the Theory of Mind. Better grasping how olfaction influences psychological and social functioning could improve diagnostic and therapeutic approaches to ORS in psychiatry.

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)0.002
metaresearch head score (Gemma)0.019
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0020.004
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.392
GPT teacher head0.434
Teacher spread0.042 · 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
Published2024
Admission routes1
Has abstractyes

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