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Record W4231768896 · doi:10.1038/s41379-019-0237-5

Abstracts from USCAP 2019: Genitourinary Pathology (including renal tumors) (776-992)

2019· article· en· W4231768896 on OpenAlexaff
Eman Abdelzaher, Amany Abdel Bary, Ahmed Fahmy, Ebtesam Elzarrouk, Eman Abdulfatah, Komal Kunder, Simpa S. Salami, Lakshmi P. Kunju, Angela Wu, Rohit Mehra, Scott A. Tomlins, Aaron M. Udager, Andrés Acosta, Justine A. Barletta, Michelle S. Hirsch, Abbas Agaimy, Kiril Trpkov, Yuan Gao, Arndt Hartmann, Ondřej Hes, Mahmut Akgül, Tae‐Beom Kim, Qi Yuan, Nail Alouch, Paari Murugan, Steven S. Shen, Fadi Brimo, Priya Rao, Pheroze Tamboli, Ken Chen, Kanishka Sircar

Bibliographic record

VenueModern Pathology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRenal and related cancers
Canadian institutionsMcGill UniversityCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsPathologyGenitourinary systemMedicineRenal pathologyKidneyInternal medicine

Abstract

fetched live from OpenAlex

Background: Urothelial carcinomas are highly heterogeneous in terms of biological behavior which certainly reflects different and complex metabolic and molecular pathways.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.010
GPT teacher head0.235
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.

Study designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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