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Record W2777794015

Parasieten- of infestatiewaan: een therapeutische uitdaging

2014· article· nl· W2777794015 on OpenAlexaff
Yara Q. Jagt, Arjen L. Sutterland, Julia Meijer, Marloes S. Oudijn, P. M. J. H. Kemperman, Nienke Vulink, Lieuwe de Haan

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2014
Typearticle
Languagenl
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineAntipsychoticPsychiatryDelusional disorderDermatologySchizophrenia (object-oriented programming)Psychosis
DOInot available

Abstract

fetched live from OpenAlex

Delusional infestation, formally known as delusional parasitosis, poses a therapeutic challenge. This article provides tools to engage these patients with psychiatric treatment. We present two men aged 49 and 48 who saw the dermatologist with skin symptoms due to primary and secondary delusional infestation, respectively. Despite their anosognosia, both patients were successfully treated with antipsychotics thanks to the collaboration between dermatology and psychiatry. To increase the acceptability of treatment with antipsychotics, emphasis should be placed on their antipruritic properties and the effect on degree of preoccupation with the infection rather than their antipsychotic properties. Follow-up is important, as patients mostly do not attribute their recovery to antipsychotics and the risk of recurrence is high after cessation of antipsychotic medication

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.002
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 head0.029
GPT teacher head0.304
Teacher spread0.274 · 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 teacher head, not a consensus.

Study designObservational
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
Published2014
Admission routes1
Has abstractyes

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