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Record W4243592276 · doi:10.1002/ibd.3780050309

Bone mineral metabolism in pediatric inflammatory bowel disease

2007· article· en· W4243592276 on OpenAlexaff
Robert M. Issenman

Bibliographic record

VenueInflammatory Bowel Diseases · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsHamilton Health SciencesMcMaster Children's HospitalMcMaster University Medical Centre
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseUlcerative colitisOsteoporosisBone mineralDiseaseVitamin D and neurologyMetabolic bone diseaseBone remodelingInternal medicineBone diseaseGastroenterology

Abstract

fetched live from OpenAlex

The development of reliable techniques to measure bone densitometry and evolving effective drug treatment have kindled great interest in the diagnosis and treatment of osteoporosis in adults with inflammatory bowel disease. A number of studies have examined the prevalence of abnormal bone mineral metabolism in children and adolescents. Studies, conducted over the past decade, indicate a greater likelihood of clinically significant problems in Crohn's disease than in ulcerative colitis. Corticosteroids have been proven to impair bone mineral status. It is increasingly clear that inflammation and other factors play a bigger role than malabsorbtion of minerals or vitamin D in most patients. As the use of the bisphonate class of drugs is limited in pediatric patients, there is a need to emphasize the role of diet and exercise in children and teenagers, particularly in those affected by inflammatory bowel disease.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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
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

Citations14
Published2007
Admission routes1
Has abstractyes

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