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Record W4389135882 · doi:10.1097/nt.0000000000000658

Presentation of Eating Disorders in Clinical Practice and the Role of Nutrition Therapy

2023· article· en· W4389135882 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

VenueNutrition Today · 2023
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsEating disordersPsychosocialIntervention (counseling)MedicinePresentation (obstetrics)PsychiatryMental healthIdentification (biology)Disordered eatingClinical psychology

Abstract

fetched live from OpenAlex

Eating disorders are serious mental health disorders characterized by persistent disturbances in eating that impair physical health and/or psychosocial functioning. Widespread screening for eating disorders can help reduce disparities in diagnosis and may prevent the physical, psychological, and social consequences associated with delayed treatment. Evidence-based recommendations involve intervention by specialized mental healthcare providers; however, dietitians are pivotal in the prevention, identification, and treatment of eating disorders, leading to improved outcomes for the patient. Developing skills aimed at identification of disordered eating and basic treatment guidelines is of critical importance due to the ubiquity of these behaviors and 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.200

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.029
GPT teacher head0.392
Teacher spread0.363 · 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