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Record W3120445389 · doi:10.1016/j.eururo.2020.12.033

European Association of Urology (EAU) Prognostic Factor Risk Groups for Non–muscle-invasive Bladder Cancer (NMIBC) Incorporating the WHO 2004/2016 and WHO 1973 Classification Systems for Grade: An Update from the EAU NMIBC Guidelines Panel

2021· article· en· W3120445389 on OpenAlexaff
Richard Sylvester, Óscar Rodríguez, Virginia Hernández, Diana Turturica, Lenka Bauerová, Harman Max Bruins, Johannes Bründl, Theodorus van der Kwast, A. Brisuda, J. Rubio‐Briones, Maximilian Seles, Anouk E. Hentschel, V.R.M. Kusuma, Nicolai Huebner, Juliette Cotte, Laura S. Mertens, Dimitrios Volanis, Olivier Cussenot, José Daniel Subiela, Enrique de la Peña, Francesca Pisano, Michael Pešl, Antoine G. van der Heijden, Sonja Herdegen, Alexandre R. Zlotta, Jaromír Háček, Ana Calatrava, Sebastian Mannweiler, Judith Bosschieter, David Ashabere, Andrea Haitel, Jean‐François Côté, Luca Lunelli, Ferrán Algaba, Isabel Alemany, Francesco Soria, Willemien Runneboom, Johannes Breyer, Jakko A. Nieuwenhuijzen, Carlos Llorente, Luca Molinaro, Christina A. Hulsbergen‐van de Kaa, Matthias Evert, Lambertus A. Kiemeney, James N’Dow, Karin Plass, Otakar Čapoun, Viktor Soukup, José L. Domínguez-Escrig, Daniel L. Cohen, Joan Palou, Paolo Gontero, Maximilian Burger, Richard Zigeuner, Amir Hugh Mostafid, Shahrokh F. Shariat, Morgan Rouprêt, Éva Compérat, Marko Babjuk, Bas W.G. van Rhijn

Bibliographic record

VenueEuropean Urology · 2021
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineBladder cancerGrading (engineering)Proportional hazards modelRisk factorCystectomyConcomitantInternal medicineOncologyCarcinoma in situClinical endpointUrologyCancerRandomized controlled trial

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0050.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.003
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 head0.064
GPT teacher head0.303
Teacher spread0.239 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations463
Published2021
Admission routes1
Has abstractno

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