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Record W2998261418 · doi:10.1038/s41379-019-0442-2

Immunohistochemical analysis of IDH2 R172 hotspot mutations in breast papillary neoplasms: applications in the diagnosis of tall cell carcinoma with reverse polarity

2020· article· en· W2998261418 on OpenAlexaff
Fresia Pareja, Edaise M. da Silva, Denise Frosina, Felipe C. Geyer, John R. Lozada, Thais Basili, Arnaud Da Cruz Paula, Elaine Zhong, Fatemeh Derakhshan, Timothy M. D’Alfonso, Hannah Y. Wen, Dilip D. Giri, Malcolm Hayes, Gregor Krings, Rohit Bhargava, Juan Palazzo, Emad A. Rakha, Syed A. Hoda, Melinda E. Sanders, Laura C. Collins, Stuart J. Schnitt, Yunn‐Yi Chen, Britta Weigelt, Achim A. Jungbluth, Jorge S. Reis‐Filho, Edi Brogi

Bibliographic record

VenueModern Pathology · 2020
Typearticle
Languageen
FieldMedicine
TopicBreast Lesions and Carcinomas
Canadian institutionsBC Cancer Agency
FundersNational Cancer InstituteNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsIDH2PathologyImmunohistochemistryBiologyHematopathologyCarcinomaCancer researchMedicineCytogeneticsGeneMutationIDH1Genetics

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 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 score0.052
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.240
Teacher spread0.225 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations60
Published2020
Admission routes1
Has abstractno

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