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Record W2147774686 · doi:10.7812/tpp/14-019

Mindful Mood Balance: A Case Report of Web-Based Treatment of Residual Depressive Symptoms

2014· article· en· W2147774686 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

VenueThe Permanente Journal · 2014
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsCentre for Movement Disorders
FundersU.S. Public Health Service
KeywordsMindfulnessMoodDepressive symptomsIntervention (counseling)CognitionClinical psychologyMedicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

Residual depressive symptoms are associated with increased risk for relapse and impaired functioning. Although there is no definitive treatment for residual depressive symptoms, Mindfulness-Based Cognitive Therapy has been shown to be effective, but access is limited. Mindful Mood Balance (MMB), a Web-based adaptation of Mindfulness-Based Cognitive Therapy, was designed to address this care gap. In this case study, we describe a composite case that is representative of the course of intervention with MMB and its implementation in a large integrated delivery system. Specifically, we describe the content of each of eight weekly sessions, and the self-management skills developed by participating in this program. MMB may be a cost-effective and scalable option in primary care for increasing access to treatments for patients with residual depressive 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.994

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)0.0070.000

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 head0.021
GPT teacher head0.320
Teacher spread0.299 · 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