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Record W3008013335 · doi:10.1016/j.ijrobp.2020.01.051

Beyond an Updated Graded Prognostic Assessment (Breast GPA): A Prognostic Index and Trends in Treatment and Survival in Breast Cancer Brain Metastases From 1985 to Today

2020· article· en· W3008013335 on OpenAlex
Paul W. Sperduto, Shane Mesko, Jing Li, Daniel Cagney, Ayal A. Aizer, Nancy U. Lin, Eric Nesbit, Tim J. Kruser, Jason W. Chan, Steve Braunstein, Jessica Lee, John P. Kirkpatrick, Will Breen, Paul D. Brown, Diana D. Shi, Helen A. Shih, Hany Soliman, Arjun Sahgal, Ryan Shanley, William Sperduto, Emil Lou, Ashlyn S. Everett, Drexell H. Boggs, Laura Masucci, David Roberge, Jill Remick, Kristin A. Plichta, John M. Buatti, Supriya Jain, Laurie E. Gaspar, Cheng–Chia Wu, Tony J. C. Wang, John Bryant, Michael D. Chuong, James B. Yu, Veronica Chiang, Toshimichi Nakano, Hidefumi Aoyama, Minesh P. Mehta

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Radiation Oncology*Biology*Physics · 2020
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsCentre Hospitalier de l’Université de MontréalSunnybrook Health Science CentreUniversity of Toronto
FundersNational Center for Advancing Translational SciencesNational Cancer InstituteNational Institutes of Health
KeywordsBreast cancerMedicineOncologyInternal medicineIndex (typography)Overall survivalCancerComputer science

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.352
Teacher spread0.326 · 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