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Record W4321793069 · doi:10.1016/j.eururo.2023.02.007

Erratum to “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” [Eur. Urol. 79(4) (2021) 480–488]

2023· erratum· en· W4321793069 on OpenAlexaff
Richard Sylvester, Oscar 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 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 · 2023
Typeerratum
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineBladder cancerUrologyRisk factorGynecologyOncologyInternal medicineCancer

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)0.004
metaresearch head score (Gemma)0.038
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0440.047

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 head0.059
GPT teacher head0.308
Teacher spread0.249 · 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
GenreOther

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

Citations5
Published2023
Admission routes1
Has abstractno

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