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Record W2949742290 · doi:10.1055/s-0039-1688078

RANKL and OPG and their influence on breast volume changes during pregnancy in healthy women

2019· article· en· W2949742290 on OpenAlex
Marius Wunderle, Matthias Rübner, Lothar Häberle, Eva Schwenke, CC Hack, CM Bayer, MC Koch, Judith Schwitulla, R. Schulz-Wendtland, I. Kozieradzki, MP Lux, MW Beckmann, SM Jud, Josef Penninger, MO Schneider, PA Fasching

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

VenueSenologie - Zeitschrift für Mammadiagnostik und -therapie · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRANKLBreast cancerMedicinePregnancyBreastfeedingObstetricsBreast feedingOncologyLactationInternal medicineGynecologyCancerPediatricsReceptorBiology

Abstract

fetched live from OpenAlex

Breast cancer risk is influenced both by number of pregnancies and breastfeeding duration, but not all women benefit similarly from these. Breast volume changes during pregnancy may be predictive for later transformation of the breast. This study investigated the influence of serum RANKL and OPG at the start of pregnancy on breast volume changes.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.276
Teacher spread0.264 · 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