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Record W2063328469 · doi:10.1080/13803395.2013.828021

Direct and mediated effects of cognitive function with multidimensional outcome measures in schizophrenia: The role of functional capacity

2013· article· en· W2063328469 on OpenAlexaff
Jennifer S. Ho, Raeanne C. Moore, Taylor Davine, Verónica Cárdenas, Christopher R. Bowie, Thomas L. Patterson, Brent T. Mausbach

Bibliographic record

VenueJournal of Clinical and Experimental Neuropsychology · 2013
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsQueen's University
FundersNational Institute of Mental Health
KeywordsPsychologyCognitionSchizophrenia (object-oriented programming)Cognitive skillPopulationObserver (physics)Cognitive psychologyPsychosisDevelopmental psychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

Although cognitive ability is a known predictor of real-world functioning in schizophrenia, there has been an expanded interest in understanding the mechanisms by which it explains real-world functioning in this population. We examined the extent to which functional capacity (i.e., skills necessary to live independently) mediated the relationship between cognitive ability and both observer and self-reported real-world functioning in 138 outpatients with schizophrenia. Functional capacity significantly mediated the relations between cognitive ability and observer-rated real-world functioning, but not self-reported real-world functioning, with small to medium effect sizes observed for all outcomes. The role of cognitive ability in observer versus self-reported real-world functioning may be explained by different mechanisms.

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)0.007
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.348
Teacher spread0.304 · 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 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

Citations9
Published2013
Admission routes1
Has abstractyes

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