MétaCan
Menu
Back to cohort
Record W3125752559 · doi:10.31083/jomh.2021.014

The molecule that makes prostate cancer easy to find shows why it will be so difficult to cure

2021· article· en· W3125752559 on OpenAlex

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 Men s Health · 2021
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsEagle Ridge HospitalUniversity of British Columbia
Fundersnot available
KeywordsProstate cancerProstateSemenSpermCancerMedicineBiologyInternal medicineAndrology

Abstract

fetched live from OpenAlex

PSA is an enzyme that helps liquefy semen after a man ejaculates. Liquifying the semen frees sperm cells so they can swim to an egg and fertilize it. PSA's function is so essential for mammalian reproduction-for continuing life from one generating to the next-that prostate cancer has evolved a multitude of ways of avoiding the body's own defenses against cancerous prostate cells. As a testimonial to how important PSA is to reproduction, highly mutated prostate cells still produce PSA. This makes the PSA test a good clinical tool for tracking the progresion of the disease. However, at the same time it is an ominous sign as to how hard it will be to find a simple cure for prostate cancer.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.051
GPT teacher head0.399
Teacher spread0.348 · 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