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Challenges and Opportunities in IBD Clinical Trial Design
Marla C. Dubinsky, Rory Collins, María T. Abreu, Vipul Jairath, James D. Lewis, James O. Lindsay, Miriam Mérad, Siew C. Ng, Remo Panaccione, Julián Panés, Bruce E. Sands, Corey A. Siegal, Siddarth Singh, Séverine Vermeire, Vineet Ahuja, Matthieu Allez, Ashwin N. Ananthakrishnan, Willem A. Bemelman, Jonathan Braun, Jean‐Frédéric Colombel, Silvio Danese, Geert D’Haens, André D’Hoore, Axel Dignaß, Iris Dotan, M Gassul, Anne Griffiths, Jonas Halfvarson, Stephen Hanauer, Paulo Gustavo Kotze, Ioannis E. Κoutroubakis, Edward V. Loftus, Édouard Louis, Fernando Magro, Gerassimos J. Mantzaris, Jean‐Yves Mary, Dermot McGovern, Pia Munkholm, Colm O’Morain, Yves Panís, Laurent Peyrin‐Biroulet, Cosimo Prantera, Zhihua Ran, Britta Siegmund, Mark S. Silverberg, Eduard F. Stange, Stephan Targan, Curt Tysk, Simon Travis, M H Vatn, Yesus Yamamoto-Furusho, Janske Aarts, Brihad Abhyankar, Richard Aranda, Vipin Arora, Jalil Benjacoub, Sofie Berg, R. Besuyen, Daniela Bojic, Valerio Carriero, Fabio Cataldi, Laurence D’Agay, Sílvia Delgado-Aros, Paul J. Giannasca, Kavitha Goyal, Roland Greinwald, Savion Gropper, Shunsuke Kageyama, R Laoun, Barrett G. Levesque, Trevor Lissoos, Irene Modesto, Ralf Mohrbacher, Ralph Müeller, April N. Naegeli, Snehal Naik, D. Viet Nguyen, Wojciech Niezychowski, Caitriona O’Brien, Irina Odnoletkova, Alessandra Oortwijn, Kun K.T. Park, Waldemar Radziszewski, Leonardo Salese, Johannes Spleiss, Andrea Stancati, Amanda R. Tatro, Jennifer Thompson, Robert Hofmann, Javier Zambrano, Wen Zhou, Ellen Zigmont
Bibliographic record
VenueGastroenterology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
FundersJanssen PharmaceuticalsNational Institute of Diabetes and Digestive and Kidney DiseasesCumming School of Medicine, University of CalgaryPerelman School of Medicine, University of PennsylvaniaUniversity of California, San DiegoHumanitas Research HospitalChinese University of Hong KongUniversity of OxfordCedars-Sinai Medical CenterBarts Health NHS TrustAll-India Institute of Medical SciencesKU LeuvenHarvard School of Dental MedicineUniversity of MiamiIcahn School of Medicine at Mount SinaiPfizerNorthwestern UniversityUniversitaire Ziekenhuizen Leuven, KU LeuvenDartmouth CollegeBristol-Myers SquibbBritish Heart FoundationTakeda Pharmaceutical CompanyAbbVieUniversity of PennsylvaniaRocheMayo ClinicBoehringer IngelheimAmgenTillotts PharmaAmsterdam University Medical CentersEA Pharma Co., Ltd.Gilead Sciences
KeywordsClinical trialMedicineScopusInflammatory bowel diseaseClinical study designFamily medicineAlternative medicineDiseaseMEDLINEInternal medicinePathologyPolitical science
Abstract
peer reviewed
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 imitationNot 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 score0.577
Threshold uncertainty score0.436
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.125
GPT teacher head0.324
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations32
Published2021
Admission routes1
Has abstractyes