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Record W3160158583 · doi:10.1053/j.gastro.2021.04.080

Development of a Core Outcome Set for Therapeutic Studies in Eosinophilic Esophagitis (COREOS): An International Multidisciplinary Consensus

2021· article· en· W3160158583 on OpenAlexaff
Christopher Ma, Alain Schoepfer, Ekaterina Safroneeva, Evan S. Dellon, Albert J. Bredenoord, Mirna Chehade, Margaret H. Collins, Brian G. Feagan, Glenn T. Furuta, Sandeep Gupta, Ikuo Hirano, Vipul Jairath, David A. Katzka, Rish K. Pai, Marc E. Rothenberg, Alex Straumann, Seema S. Aceves, Jeffrey A. Alexander, Nicoleta C. Arva, Dan Atkins, Luc Biedermann, Carine Blanchard, Antonella Cianferoni, Constanza Ciriza de los Ríos, Frederic Clayton, Carla M. Davis, Nicola de Bortoli, Jorge Amil Dias, Gary W. Falk, Robert M. Genta, Gisoo Ghaffari, Nirmala Gonsalves, Thomas Greuter, Russell J. Hopp, Karen S. Hsu Blatman, Elizabeth T. Jensen, Doug Johnston, Amir F. Kagalwalla, Helén Larsson, John Leung, Hubert Louis, Joanne C. Masterson, Calies Menard‐Katcher, Paul Menard‐Katcher, Fouad J. Moawad, Amanda B. Muir, Vincent A. Mukkada, Roberto Penagini, Robert D. Pesek, Kathryn A. Peterson, Philip E. Putnam, Alberto Ravelli, Edoardo Savarino, Christoph Schlag, Philipp Schreiner, Dagmar Simon, Thomas C. Smyrk, Jonathan M. Spergel, Tiffany Taft, Ingrid Terreehorst, Tim Vanuytsel, Carina Venter, Mário C. Vieira, Michael Vieth, Berber Vlieg‐Boerstra, Ulrike von Arnim, Marjorie M. Walker, Joshua B. Wechsler, Philip Woodland, John T. Woosley, Guang‐Yu Yang, Noam Zevit

Bibliographic record

VenueGastroenterology · 2021
Typearticle
Languageen
FieldMedicine
TopicEosinophilic Esophagitis
Canadian institutionsUniversity of Calgary
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsEosinophilic esophagitisMultidisciplinary approachMedicineOutcome (game theory)Consensus conferenceSet (abstract data type)Core (optical fiber)Intensive care medicineInternal medicineComputer sciencePolitical scienceDiseaseMathematics

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)0.157
metaresearch head score (Gemma)0.166
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.843
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1570.166
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.011
Bibliometrics0.0110.007
Science and technology studies0.0040.003
Scholarly communication0.0100.006
Open science0.0090.012
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0020.001

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 head0.246
GPT teacher head0.441
Teacher spread0.195 · 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 designNot applicable
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

Citations21
Published2021
Admission routes1
Has abstractno

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