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Record W2166056197 · doi:10.2337/dc13-1637

The mSCOFF for Screening Disordered Eating in Pediatric Type 1 Diabetes

2014· letter· en· W2166056197 on OpenAlexaff
Caroline Zuijdwijk, Susan A. Pardy, Jeff Dowden, Anna Dominic, Tracey Bridger, Leigh Anne Newhook

Bibliographic record

VenueDiabetes Care · 2014
Typeletter
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMemorial University of NewfoundlandNewfoundland and Labrador Centre for Applied Health ResearchJaneway Children's Health and Rehabilitation Centre
Fundersnot available
KeywordsMedicineDiabetes mellitusType 1 diabetesEating disordersPopulationPediatricsDisordered eatingType 2 diabetesPsychiatryEndocrinologyEnvironmental health

Abstract

fetched live from OpenAlex

Screening for eating disorders (EDs) in adolescent females with type 1 diabetes (T1D) is recommended by national guidelines because of the increased risk of EDs in this population and the premature morbidity and mortality associated with this dual diagnosis (1). Currently, no ED screening tool has been validated and accepted for clinical use in T1D. We modified the SCOFF ED screening questionnaire for this population (mSCOFF) and compared it with the Eating Disorder Inventory-3 (EDI-3) in 43 adolescent females with T1D (mean ± SD age 15.8 ± 1.7 years, diabetes duration 7.6 ± 3.9 years, BMI 25.5 ± 3.5 kg/m2, A1C 8.4 ± 1.4% [68 mmol/mol]). Patients with known ED were excluded. This study had institutional ethics board approval. The EDI-3 is a reliable, valid, 91-item self-report measure for screening ED risk (2). A modified form of the EDI (mEDI) eliminates questions related to diabetes-imposed dietary …

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)0.001
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0080.004

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 head0.285
Teacher spread0.264 · 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
GenreCommentary

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

Citations56
Published2014
Admission routes1
Has abstractyes

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