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Record W2089406677 · doi:10.12816/0006002

Inflammatory Bowel Disease Register : Steps towards Crohn's and Colitis Foundation of Saudi Arabia ( CCFSA )

2012· article· en· W2089406677 on OpenAlexaboutno aff
Ibrahim Masoodi, Khalid Alsayari, Jamal Albishri

Bibliographic record

VenueInternational Journal of Health Sciences · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseUlcerative colitisDiseaseCrohn's diseasePopulationAbsenteeismInternal medicineFamily medicineEnvironmental healthManagement

Abstract

fetched live from OpenAlex

Inflammatory bowel diseases (IBD) are among the leading cause of financial burden, morbidity and employee absenteeism in developed countries because of their chronic remitting and relapsing courses. IBD is estimated to affect the Canadian economy to the tune of 100 million dollars per year. The data regarding exact prevalence in Asian countries, including Saudi Arabia, is still incomplete as there is underreporting and lack of proper registry of the diagnosed cases. The prevalence of inflammatory bowel disease (Ulcerative colitis, Crohn's disease) has increased over the last decade in Saudi Arabia due to increased IBD awareness among population, as more patients seek medical help and also due to unknown reasons. There is a need of proper registration of IBD patients and establishment of Crohn's & colitis foundation of Saudi Arabia (CCFSA) as in other parts of the world. The Crohn's & colitis foundation of Saudi Arabia will be a forum which will co ordinate IBD treatment and research in the country in addition to health education among IBD population.

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)0.004
metaresearch head score (Gemma)0.013
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: Empirical · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.009

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 head0.020
GPT teacher head0.319
Teacher spread0.299 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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