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Record W2026246384 · doi:10.1016/j.eururo.2015.02.007

Corrigendum to “Characteristics and Outcomes of Patients with Clinical T1 Grade 3 Urothelial Carcinoma Treated with Radical Cystectomy: Results from an International Cohort” [Eur Urol 2010;57:300–9]

2015· erratum· en· W2026246384 on OpenAlexaff
Hans‐Martin Fritsche, Maximilian Burger, Robert S. Svatek, Claudio Jeldres, Pierre I. Karakiewicz, Giacomo Novara, Eila C. Skinner, Stefan Denzinger, Yves Fradet, Hendrik Isbarn, Patrick J. Bastian, Bjoern G. Volkmer, Francesco Montorsi, Wassim Kassouf, Derya Tilki, Wolfgang Otto, Umberto Capitanio, Jonathan I. Izawa, Vincenzo Ficarra, Seth P. Lerner, Arthur I. Sagalowsky, Mark Schoenberg, Ashish M. Kamat, Colin P. Dinney, Yair Lotan, Shahrokh F. Shariat

Bibliographic record

VenueEuropean Urology · 2015
Typeerratum
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsWestern UniversityMcGill UniversityUniversité LavalMcGill University Health CentreUniversité de Montréal
Fundersnot available
KeywordsMedicineCystectomyUrothelial carcinomaUrologyCohortCarcinomaOncologyInternal medicineBladder cancerCancer

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)0.003
metaresearch head score (Gemma)0.040
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 score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.040
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0260.015

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 head0.033
GPT teacher head0.294
Teacher spread0.262 · 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

Citations2
Published2015
Admission routes1
Has abstractno

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