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Record W2802165589 · doi:10.3233/blc-189032

New Horizons in Bladder Cancer Research: Report of the 15th Meeting of the International Bladder Cancer Network (IBCN) in Lisbon, Portugal, October 21–23, 2017

2018· article· en· W2802165589 on OpenAlexaff
Peter C. Black, Peter J. Goebell, Ashish M. Kamat, Roman Nawroth, Bernd J. Schmitz‐Dräger

Bibliographic record

VenueBladder Cancer · 2018
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBladder cancerCancerMedicineInternal medicine

Abstract

fetched live from OpenAlex

Fueled by recent progress of modern immunotherapy, bladder cancer has regained the interest of the scientific community and stimulated research exceeding the field of checkpoint inhibitors. The 15th meeting of the International Bladder Cancer Network (IBCN) took place at the Fundacao Champalimaud in Lisbon, Portugal, from October 21-23, 2017, 20 years after the first meeting in Barcelona. Once again, participants from different countries and with different scientific background discussed a broad spectrum of bladder cancer research spanning from basic research related topics (e.g. cancer models, biomarkers, molecular subtyping, molecular background of cancer progression and novel targets) to clinical aspects including tumor immunology A separate session tried to define "room to improvement" in clinical trial design.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.075
GPT teacher head0.383
Teacher spread0.308 · 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 teacher head, not a consensus.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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