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Record W1593941862 · doi:10.1017/cbo9780511543463

Medical Management of Eating Disorders

2004· book· en· W1593941862 on OpenAlexaff
C. Laird Birmingham, P. J. V. Beumont, Richard I. Crawford, Deborah M. Hodgson, Michael Kohn, Peta Marks, James Mitchell, Jorge Pinzon, Ingrid Tyler, Christopher Thornton, Stephen Touyz, Alison Wakefield

Bibliographic record

VenueCambridge University Press eBooks · 2004
Typebook
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEating disordersAnorexia nervosaComplaintPhysical examinationMedicinePsychiatryHealth professionalsMedical historyPsychologyHealth care

Abstract

fetched live from OpenAlex

This is a practical guide to the medical complications and treatment of anorexia nervosa and related eating disorders. A user-friendly structure allows the reader to access information on the basis of physical complaint (e.g. chest pain) or body system (e.g. neurological or respiratory). Practical guidance is provided on history taking, physical, and laboratory examination, and looking after special categories of patients such as prepubertal, males, adolescents, and during pregnancy. The principles and practice of treatment are fully covered including medical and nutritional therapies. Psychiatric and psychological issues are also addressed and provide details of specific psychological therapies. The text is supplemented with diagnostic colour photographs of important physical manifestations of eating disorders. Although the text is suitable for all health care professionals looking after these patients, special information is provided for general practitioners, nursing staff and family carers and including the patients themselves.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0500.028

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 head0.016
GPT teacher head0.249
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations42
Published2004
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicEating Disorders and BehaviorsFrench-language works237,207