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Record W3037199247 · doi:10.1038/s41571-020-0412-0

Publisher Correction: Personalized early detection and prevention of breast cancer: ENVISION consensus statement

2020· review· en· W3037199247 on OpenAlexaff
Nora Pashayan, Antonis C. Antoniou, Urška Ivanuš, Laura J. Esserman, Douglas F. Easton, David French, Gaby Sroczynski, Per Hall, Jack Cuzick, D. Gareth Evans, Jacques Simard, Montserrat García‐Closas, Rita K. Schmutzler, Odette Wegwarth, Paul D.P. Pharoah, Sowmiya Moorthie, Sandrine de Montgolfier, Camille Baron, Zdenko Herceg, Clare Turnbull, Corinne Balleyguier, Paolo Giorgi Rossi, Jelle Wesseling, David Ritchie, Marc Tischkowitz, Mireille J. M. Broeders, Daniel Reisel, Andres Metspalu, Thomas Callender, Harry J. de Koning, Peter Devilee, Suzette Delaloge, Marjanka K. Schmidt, Martin Widschwendter

Bibliographic record

VenueNature Reviews Clinical Oncology · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsUniversité Laval
FundersCancer Research UKWorld Health Organization
KeywordsStatement (logic)Breast cancerMedical physicsComputer scienceMedicinePolitical scienceCancerLawInternal medicine

Abstract

fetched live from OpenAlex

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.454
Teacher spread0.388 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2020
Admission routes1
Has abstractyes

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