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Record W2339584708 · doi:10.1200/jop.2016.011536

Sexual Health After Cancer Therapy

2016· letter· en· W2339584708 on OpenAlex
Celestia S. Higano, Christine Zarowski, Richard J. Wassersug, Stacy Elliott

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

VenueJournal of Oncology Practice · 2016
Typeletter
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineMEDLINECancer therapyCancerFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

There are more than 14.5 million cancer survivors in the United States in 2016. Although there are no definitive statistics, in one survey of cancer survivors, 46% reported sexual health problems related to the diagnosis and treatment of cancer, and 71% said that they had received no care for sexual dysfunction. The impact of prostate cancer treatments on erectile dysfunction (ED) is well known. However, the review by Voznesensky et al highlights the fact that treatment of men with other malignancies, including bladder, testicular, colorectal, and those treated with marrow or peripheral stemcell transplant, can alsoplayhavoc with erectile function. The authors explain the anatomy and physiology of normal erections and explain how surgery, radiation, chemotherapy, and hormonal therapy can cause ED, dry ejaculation, climacturia (leaking urine during orgasm), or anorgasmia (difficulty reaching orgasm). They provide a thorough discussion of the standard approaches to ED and conclude that patients should be referred to urologists for treatment of cancer-related ED.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.120
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.108
GPT teacher head0.443
Teacher spread0.335 · 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