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Record W2336474539 · doi:10.1097/ypg.0000000000000137

Prevalence of nonaffective psychosis in intellectually disabled clients

2016· review· en· W2336474539 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

VenuePsychiatric Genetics · 2016
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsInnovation, Science and Economic Development Canada
Fundersnot available
KeywordsPsychosisPopulationSchizophrenia (object-oriented programming)MEDLINEEpidemiologyPsychiatryMedicineIntellectual disabilityDemographyGerontologyEnvironmental healthPathologyBiology

Abstract

fetched live from OpenAlex

Epidemiological studies report high rates of schizophrenia in individuals with intellectual disability (ID). However, this subject has not been reviewed systematically. We aim to review studies that report the prevalence of nonaffective psychosis in a population with ID and estimate the prevalence of schizophrenia in this population. We performed a literature search using the PsychINFO, MEDLINE and EMBASE (from inception to 2 October 2014). We performed a manual search of citations from relevant papers identified through the databases. We identified 887 titles and after screening abstracts, identified 60 full-text articles. We identified 25 studies with 27 datasets for inclusion in the systematic review and meta-analysis. The prevalence rate was at least three times higher than the general population. There was a wide variation in the methodology, setting and sample size of the studies. Only one study reported a prevalence rate lower than the general population. The prevalence of psychosis in a population with ID is at least three times higher than that in the general population.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.053
GPT teacher head0.371
Teacher spread0.317 · 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