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Validation of a new optical diagnosis training module to improve dysplasia characterization in inflammatory bowel disease: a multicenter international study
Marietta Iacucci, Stefanos Bonovas, Alina Bazarova, Rosanna Cannatelli, R Ingram, Nunzia Labarile, Olga Maria Nardone, Tommaso Lorenzo Parigi, Daniele Piovani, Keith Siau, Samuel C. Smith, Irene Zammarchi, José G. Ferraz, Gionata Fiorino, R Kiesslich, Remo Panaccione, Adolfo Parra‐Blanco, Mariabeatrice Principi, Gian Eugenio Tontini, Toshio Uraoka, Subrata Ghosh, Abdullah Abbasi, Adele Wargen, Ahmed Feroz, Alessandra Dell’Era, Alessandra Piagnani, Alessandro Rimondi, Alessia Chini, Alessia Dalila Guarino, Alessia Todeschini, Amar Srinivasa, Andrea Sorge, Angelica Toppeta, Anna M Carvalhas Gabrielli, Anna Testa, Anthony R. MacLean, Antonella Contaldo, A. M. D. Churchhouse, Anderson Matheus Pereira da Silva, Beatrice Marinoni, Chiara Lillo, Christopher N. Andrews, Ciro Lentano, Costantino Sgamato, Daniele Gridavilla, Daniele Noviello, Danny Cheung, Dhanai Di Paolo, D. Novielli, Dominic King, Edoardo Borsotti, Eleanor Liu, Elena Arsiè, Elisa Farina, Elisabetta Filippi, E. Annoscia, Fabiana Castiglione, Fenella Marley, Francesca Ferretti, Francesco Conforti, Francis Egbuonu, Fulvio Salvatore D’Abramo, Giulia Scardino, Giuseppe Indellicati, Giuseppe Losurdo, Antonietta Gerarda Gravina, Ian Beales, Ibrahim Al Bakir, Ilaria Ditonno, Imma Di Luna, Imran Tahir, Irene Bergns, Irene Brescia, Isabel Carbery, Ismaeel Al-Talib, Jawad Azhar, Jeffrey Butterworth, Joel James, Joëlle St‐Pierre, John R. Jacob, Jordan Iannuzzi, Kelly Chatten, Leah Gilroy, Lekshmy S. Pillai, Luca Pastorelli, Lucienne Pellegrini, Lushen Pillay, Marco Romano, Maria Camilla Monico, Mariapaola Piazzolla, Marius Paraoan, Marta Patturelli, Martino Mezzapesa, Matthew Woo, Maxime Delisle, Melissa Chan, Michael A. Gómez, Zoe Michael, Misha Kabir, Mohammad Fawad Khattak, Mohit Inani, Muaad Abdulla, Muhammad Saad, Munaa Khaliq–Kareemi, Nauman Idrees, Nurulamin M Noor, Oliver Bendall, Oriana Olmo, Philip Harvey, Philip Oppong, Puja Kumar, Rachid Mohamed, Rahman Abdul, Rebecca O’Kane, Roberto de Sire, Salvatore Rizzi, Samantha Horley, Sarah Al-Shakhshir, Sarah S. M. Townsend, Sherif Abdelbadiee, Sofia Ridolfo, Sonika Sethi, Stefania De Lisi, Stefania Marangi, Tim Ambrose, Tom Troth, Vincenzo Occhipinti, Wai Liam Lam, Yasmin Nasser, Zia Ur Rahman
Bibliographic record
VenueGastrointestinal Endoscopy · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
FundersGuts UK
KeywordsMedicineInflammatory bowel diseaseDysplasiaDiseaseUlcerative colitisColorectal cancerInternal medicineGastroenterologyCancer
Abstract
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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.858
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 head0.013
GPT teacher head0.269
Teacher spread0.256 · 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
Citations10
Published2023
Admission routes1
Has abstractno