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Record W2432531102 · doi:10.1002/cncr.30094

Endometrial cancer: Not your grandmother's cancer

2016· review· en· W2432531102 on OpenAlex
Jessica N. McAlpine, Sarah M. Temkin, Helen Mackay

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCancer · 2016
Typereview
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsSunnybrook Health Science CentreUniversity of British ColumbiaUniversity of TorontoBC Cancer Agency
FundersCanadian Institutes of Health Research
KeywordsMedicineEndometrial cancerCancerDiseaseIncidence (geometry)OncologyInternal medicineGynecology

Abstract

fetched live from OpenAlex

Worldwide, the incidence of endometrial carcinoma (EC) is rapidly increasing, and the highest disease burden is reported in North America and Western Europe. Although the prognosis remains good for patients with are diagnosed with early stage EC, for those with recurrent or metastatic disease, the options are few, and the median overall survival is short. It is imperative to gain a greater understanding of all aspects of EC, limit its effect on scarce health care resources and, more importantly, prevent this cancer from significantly impacting future generations of women. An exciting new era of endometrial cancer research and clinical management has begun that incorporates biologically and clinically relevant genomic and clinicopathologic parameters. Continued collaborative research efforts and funding are essential if we are to advance our understanding of this disease and improve clinical outcomes. Cancer 2016. © 2016 American Cancer Society. Cancer 2016;122:2787-2798. © 2016 American Cancer Society.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.000

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 head0.147
GPT teacher head0.439
Teacher spread0.292 · 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