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Record W3152966966 · doi:10.1016/s2468-1253(20)30394-0

Endoscopic evaluation of surgically altered bowel in inflammatory bowel disease: a consensus guideline from the Global Interventional Inflammatory Bowel Disease Group

2021· review· en· W3152966966 on OpenAlexaff
Bo Shen, Gursimran Kochhar, Udayakumar Navaneethan, Raymond K. Cross, Francis A. Farraye, Marietta Iacucci, David A. Schwartz, Yago González‐Lama, Jason Schairer, Ravi P. Kiran, Paulo Gustavo Kotze, Taku Kobayashi, Martin Bortlík, Xiuli Liu, Alexander N. Levy, Begoña González-Suárez, Shou–jiang Tang, Nayantara Coelho–Prabhu, Martin Lukáš, David H. Bruining, Sandra El‐Hachem, Roger J. Charles, Yan Chen, Ajit Sood, Ren Mao, Carme Loras, Parambir S. Dulai, Joseph A. Picoraro, Michael Chiorean, Milan Lukáš, Amandeep K. Shergill, Mark S. Silverberg, William J. Sandborn, Çharles N. Bernstein

Bibliographic record

Venue˜The œLancet. Gastroenterology & hepatology · 2021
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of ManitobaMount Sinai Hospital
FundersNational Institutes of Health
KeywordsInflammatory bowel diseaseMedicineGuidelineGastroenterologyInternal medicineDiseaseInflammatory Bowel DiseasesPathology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.322
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.031
GPT teacher head0.320
Teacher spread0.289 · 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.

Study designObservational
Domainnot available
GenreReview

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

Citations66
Published2021
Admission routes1
Has abstractno

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