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Record W2885734143 · doi:10.1016/j.jaac.2018.04.012

Symptom Insight in Pediatric Obsessive-Compulsive Disorder: Outcomes of an International Aggregated Cross-Sectional Sample

2018· letter· en· W2885734143 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

VenueJournal of the American Academy of Child & Adolescent Psychiatry · 2018
Typeletter
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster UniversitySt. Joseph's HospitalBC Children's HospitalUniversity of British Columbia
FundersNational Institute of Mental HealthLundbeckfonden
KeywordsObsessive compulsivePsychologyClinical psychologySerotonin reuptake inhibitorPlaceboPsychiatryDepressive symptomsCross-sectional studyPillCognitionCognitive behavioral therapyDepression (economics)MedicineAnxietyAntidepressantPharmacologyAlternative medicine

Abstract

fetched live from OpenAlex

Insight in obsessive-compulsive disorder (OCD) refers to patients’ recognition that their obsessions and compulsions are symptoms rather than necessary or natural thoughts and behaviors.1 It has been estimated that 20% to 45% of youth with OCD exhibit poor or absent insight.2-4 Identified correlates of poor insight include younger age,2,3,5,6 increased OCD severity,2,4,7 impairment,4,7,8 and family accommodation2,4; lower intellectual and adaptive functioning3; and greater depressive symptoms.2,3 Poorer insight has also been associated with reduced response across treatment groups (ie, selective serotonin reuptake inhibitor [SSRI], cognitive behavioral therapy [CBT], combined SSRI plus CBT, or pill placebo).9

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0010.007
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 head0.012
GPT teacher head0.316
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