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Record W2022915413 · doi:10.1055/s-0034-1383399

Joint Statement by the Gynecologic Radiology Study Group (AGR), the German Society for Gynecology and Obstetrics (DGGG), the German Society for Senology (DGS) and the Professional Association of Gynecologists (BVF)

2014· article· en· W2022915413 on OpenAlexaboutno aff
H. Junkermann, D. Wallwiener, R. Schulz-Wendtland, C Albring

Bibliographic record

VenueGeburtshilfe und Frauenheilkunde · 2014
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMammographyRandomized controlled trialGermanGynecologyObstetrics and gynaecologyObstetricsBreast cancerFamily medicineCancerSurgeryPregnancyInternal medicine

Abstract

fetched live from OpenAlex

The criticisms directed against mammography screening in recent months have greatly unsettled the potential participants in screening programs. Supposedly, mammography screening would not achieve the reduction in mortality rates expected by seven randomized studies carried out more than 20 years ago. The execution of the studies and their evaluation would have been partially flawed. One of these studies, the randomized Canadian study (CNBSS) which found no reduction in breast cancer mortality rates, was cited as evidence for this. Moreover, it was posited that the improved prognosis resulting from the current use of adjuvant medication meant that early detection using mammography was unlikely to lead to significant decreases in breast cancer mortality.

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 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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.044
GPT teacher head0.346
Teacher spread0.302 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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