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Record W2040624426 · doi:10.1097/nmd.0b013e31829c5030

Cognitive Remediation for Treatment-Resistant Depression

2013· article· en· W2040624426 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2013
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsQueen's University
FundersOntario Ministry of Research and Innovation
KeywordsNeurocognitiveCognitive remediation therapyCognitionMoodClinical psychologyPsychologyDepression (economics)Randomized controlled trialCognitive skillEffects of sleep deprivation on cognitive performanceVerbal memoryPsychiatryMedicine

Abstract

fetched live from OpenAlex

Neurocognitive impairments are observed in depression and associated with poor functioning. This study examined the efficacy and the effectiveness of cognitive remediation with supplemental Internet-based homework in treatment-resistant depression. Participants were randomized to treatment or wait list control conditions. Treatment consisted of 10 weeks of weekly group sessions and daily online cognitive exercises completed at home. The participants were assessed on cognitive, mood, motivation, and functioning measures. There was a significant time by treatment interaction for attention/processing speed and verbal memory. Changes in functioning were not significant, although improved cognition predicted improvements in functioning. Number of minutes of online exercise was associated with greater cognitive improvements. Cognitive deficits are malleable with behavioral treatment in a mood disorder characterized by severe and persistent symptoms.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.057
GPT teacher head0.404
Teacher spread0.347 · 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