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Record W3098743519 · doi:10.1016/j.scog.2020.100192

Relationship between disability self-awareness and cognitive and daily living function in schizophrenia

2020· article· en· W3098743519 on OpenAlexaboutno aff
Sungjin Kim, Do-Un Jung, Jung‐Joon Moon, Dong-Wook Jeon, Young-Soo Seo, Sung Soo Jung, Yoo-Chul Lee, Jeong-Eun Kim, Yeon-Sue Kim

Bibliographic record

VenueSchizophrenia Research Cognition · 2020
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionPositive and Negative Syndrome ScalePsychologySchizophrenia (object-oriented programming)Activities of daily livingClinical psychologyIndependent livingDepression (economics)PsychiatryPsychosisMedicineGerontology

Abstract

fetched live from OpenAlex

We investigated the relationship between disability self-awareness and cognitive and daily living functions in 49 patients with schizophrenia. The World Health Organization Disability Assessment Schedule 2.0 (WHODAS) self-report was used to identify patient-rated global function. A clinician-rated measure of global function was obtained using the Personal and Social Performance Scale (PSP); disability self-awareness was calculated using two global function scores. The Positive and Negative Syndrome Scale (PANSS) and the Calgary Depression Scale for Schizophrenia (CDSS) were used to evaluate clinical symptoms, while the MATRICS consensus cognitive battery (MCCB) and the UCSD Performance-based Skills Assessment (UPSA) were applied to assess cognitive and daily living functionality, respectively. The WHODAS scores correlated significantly with the MCCB verbal learning, visual learning, and social cognition domains, and with the UPSA communication domain. The PSP correlated significantly with all MCCB and UPSA domains. Disability self-awareness demonstrated positive correlation with most domains of MCCB and UPSA. The findings of this study indicate that the lower the cognitive and daily living function in patients with schizophrenia, the more positively they perceive their own disability.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.039
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.096
GPT teacher head0.364
Teacher spread0.268 · 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

Citations17
Published2020
Admission routes1
Has abstractyes

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