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MP81-18 INVESTIGATING A NOVEL RECOMBINANT ANTIBODY TO ATTENUATE PROSTATE CANCER PROGRESSION BY TARGETING CELL SURFACE GRP78

2019· article· en· W2941384119 on OpenAlexaboutno aff
Ali Al‐Hashimi, Kevin Doyoon Won, Elizabeth Pham, Julie M. Bailis, Natalie F. Mariano, Bobby Shayegan, Richard C. Austin

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndoplasmic reticulumProstate cancerUnfolded protein responseCancer researchAntibodyCancerCellImmunologyCell biologyInternal medicineBiologyBiochemistry

Abstract

fetched live from OpenAlex

CONCLUSIONS: Our study show that SRD5A2 hypermethylation in promoter regions, specifically at CpG#: -39 to CpG#: -2, a condition that favors estrogenic as opposed to an androgenic milieu in the prostate, is significantly associated with better survival in CRPC patients treated with ADT.Recognition of epigenetic modifications of SRD5A2, which affects the prostatic hormonal environment, may affect the choices and sequence of available therapies for management of CRPC.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.038
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0380.007

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 head0.008
GPT teacher head0.284
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

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