Breast Cancer Is Our Global Responsibility
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.
Bibliographic record
Abstract
Breast cancer is a global problem. In 2012, more than 1.5 million women were newly diagnosed with this disease worldwide, and about half a million women died from the disease (www.globocan.iarc.fr). Incidence and mortality rates differ greatly between countries and world regions. Whereas incidence as well as mortality tend to de - crease in several European countries or Canada, both are still rising in some South American countries (1) and other parts of the world. The CONCORD 2 survey included more than 5.5 million women from about 200 registries in more than 50 countries for the recent report in 2015. For women diagnosed between 2005 and 2009, the 5-year survival was 80% or more in 34 countries around the globe. Yet, in some countries 5-year survival still was substantially lower, in particular in India, some Asian countries or in South Africa (2). We as the editors-in-chief have therefore invited several inter- national colleagues to write about breast cancer incidence and mortality in their region of the world for this last issue of Breast
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it