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Record W4205599707 · doi:10.1016/s2468-1253(21)00297-1

Endpoints for extraintestinal manifestations in inflammatory bowel disease trials: the EXTRA consensus from the International Organization for the Study of Inflammatory Bowel Diseases

2022· review· en· W4205599707 on OpenAlexaff
Lucas Guillo, María T. Abreu, Remo Panaccione, William J. Sandborn, Valderílio Feijó Azevedo, Lianne S. Gensler, Bahar Moghaddam, Vineet Ahuja, Sabrina A Ali, Matthieu Allez, Ashwin N. Ananthakrishnan, Abhik Bhattacharya, Marla C. Dubinsky, Anne M. Griffiths, Ailsa Hart, Burton I. Korelitz, Paulo Gustavo Kotze, Ioannis E. Κoutroubakis, Péter L. Lakatos, James O. Lindsay, Fernando Magro, Gerassimos J. Mantzaris, Siew C. Ng, Colm O’Morain, Julián Panés, Tommaso Lorenzo Parigi, Zhihua Ran, Gerhard Rogler, David T. Rubin, David B. Sachar, Britta Siegmund, Flávio Steinwurz, Curt Tysk, Stephan R. Vavricka, Sofia G. Verstraete, Antoine P. Brézin, Anna Haemel, Axel Dignaß, Bruce E Sands, Silvio Danese, Laurent Peyrin‐Biroulet

Bibliographic record

Venue˜The œLancet. Gastroenterology & hepatology · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of TorontoSickKids FoundationCanada Research ChairsHospital for Sick ChildrenMcGill UniversityUniversity of Calgary
FundersJohnson and JohnsonTakeda Pharmaceutical CompanyPfizer
KeywordsMedicineInflammatory bowel diseaseClinical endpointReferralClinical trialIntensive care medicineDiseaseConsensus conferenceInflammatory Bowel DiseasesInternal medicinePhysical therapyFamily medicine

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 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)0.012
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.053
GPT teacher head0.318
Teacher spread0.265 · 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.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations36
Published2022
Admission routes1
Has abstractno

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Same venue˜The œLancet. Gastroenterology & hepatologySame topicInflammatory Bowel DiseaseFrench-language works237,207