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Record W1994870234 · doi:10.3810/psm.2005.11.257

Competing With Crohn's Disease

2005· article· en· W1994870234 on OpenAlexaff
Victor Ng, Wanda Millard

Bibliographic record

VenueThe Physician and Sportsmedicine · 2005
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsFowler Kennedy Sport Medicine Clinic
Fundersnot available
KeywordsMedicineCrohn's diseaseDiseasePhysical therapyAthletesInflammatory bowel diseaseOsteoporosisIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Crohn's disease is a chronic inflammatory bowel disorder that has genetic and environmental risk factors. Although moderate physical activity seems to reduce the risk of developing Crohn's disease, some high-performance athletes live with the disease. Uncontrolled Crohn's disease predisposes patients to numerous nutrient deficiencies and associated health issues such as anemia and osteoporosis. Low-intensity exercise has been shown to decrease flare-ups in sedentary patients; however, high-intensity exercise may lead to increased symptoms. Physicians play a crucial role in coordinating a team approach among the athlete, parents, coach, and athletic trainers to provide the best possible management of diet, training schedule, and treatment.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.194

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.005
GPT teacher head0.234
Teacher spread0.230 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2005
Admission routes1
Has abstractyes

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