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Record W2572612792

Specialized cognitive behavior therapy for treatment resistant obsessive compulsive disorder.

2009· article· en· W2572612792 on OpenAlex
Debbie Sookman, Gail Steketee

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

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsSchema (genetic algorithms)Psychological interventionCognitive therapyPsychologyPsychotherapistExposure and response preventionClinical psychologyCognitive behavioral therapyObsessive compulsiveCognitionCognitive behaviour therapyClinical PracticeMedicinePsychiatryPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

Introduction 32 Outcome literature relevant to treatment resistance 34 Compliance with specialized ERP for OCD 37 Meanings of and reasons for resistance to cognitive therapy and ERP 38 Applying CT without formal ERP 40 Description of CT methods 40 Evidence for success of CT methods 42 A schema-based model 44 The model in theory 45 The model in practice: CBT for resistant OCD 47 Clinical example of CBT without schema-based interventions 49 The model in practice: schema-based assessment and treatment interventions for resistant OCD 57 Treatment ef!cacy for resistant OCD 61 Implications for future research of CBT resistance in OCD 61 Intervention criteria for CBT resistance in OCD 62 Criteria for remission/recovery following CBT for OCD 64 Criteria for CBT resistance in OCD 64 References 66

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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)0.0050.000

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 head0.029
GPT teacher head0.351
Teacher spread0.321 · 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

Quick stats

Citations14
Published2009
Admission routes1
Has abstractyes

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