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Record W4206666777 · doi:10.1016/j.annonc.2020.09.010

5th ESO-ESMO international consensus guidelines for advanced breast cancer (ABC 5)

2020· article· en· W4206666777 on OpenAlexaff
Fátima Cardoso, Shani Paluch–Shimon, Elżbieta Senkus, Giuseppe Curigliano, Matti Aapro, Fabrice André, C.H. Barrios, Jonas Bergh, G.S. Bhattacharyya, Laura Biganzoli, Frances Boyle, Maria João Cardoso, L.A. Carey, Javier Cortés, Nagi S. El Saghir, Mona Elzayat, Alexandru Eniu, Lesley Fallowfield, Prudence A. Francis, Karen A. Gelmon, Joseph Gligorov, Renate Haidinger, Nadia Harbeck, Xin Hu, Bella Kaufman, Rajneesh Kaur, Belinda E. Kiely, S.-B. Kim, NU Lin, Shirley Mertz, Silvia P. Neciosup, B.V. Offersen, Shinji Ohno, Olivia Pagani, A. Prat, Frédérique Penault‐Llorca, Hope S. Rugo, G. W. Sledge, Christoph Thomssen, D.A. Vorobiof, Theresa Wiseman, Binghe Xu, Larry Norton, A. Costa, Eric P. Winer

Bibliographic record

VenueAnnals of Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsBC Cancer Agency
FundersEuropean Society for Medical OncologyNovo Nordisk FondenEuropean School of Oncology
KeywordsMedicineGuidelineMultidisciplinary approachBreast cancerExpert opinionClinical PracticeMedical physicsIntensive care medicineCancerFamily medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

For the purpose of advanced breast cancer (ABC) guidelines, ABC comprises both inoperable locally advanced breast cancer (LABC) and metastatic breast cancer (MBC).1,2 Advanced/metastatic breast cancer remains a virtually incurable disease, with a median overall survival (OS) of about 3 years and a 5-year survival rate of around 25%,3,4 even in countries without major accessibility problems. Survival is strongly related to breast cancer subtype, with the major advances seen in human epidermal growth factor receptor 2 (HER2)-positive ABC.

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 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)0.019
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: Methods · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0040.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0240.018

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 head0.244
GPT teacher head0.504
Teacher spread0.259 · 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
GenreMethods

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

Citations1,356
Published2020
Admission routes1
Has abstractyes

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