Locally Advanced and Inflammatory Breast Cancer
Bibliographic record
Abstract
Article Tools Review Articles Article Tools OPTIONS & TOOLS Export Citation Track Citation Add To Favorites Rights & Permissions COMPANION ARTICLES No companion articles ARTICLE CITATION DOI: 10.1200/JCO.2008.15.0243 Journal of Clinical Oncology - published online before print September 22, 2016 PMID: 18258987 Locally Advanced and Inflammatory Breast Cancer Stephen ChiaxStephen ChiaSearch for articles by this author , Sandra M. SwainxSandra M. SwainSearch for articles by this author , David R. ByrdxDavid R. ByrdSearch for articles by this author , David A. MankoffxDavid A. MankoffSearch for articles by this author Show More From the Department of Medical Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada; Washington Cancer Institute, Washington Hospital Center, Washington, DC; and Departments of Surgery and Radiology, Seattle Cancer Care Alliance and University of Washington, Seattle, WA https://doi.org/10.1200/JCO.2008.15.0243 First Page Full Text PDF Figures and Tables © 2008 by American Society of Clinical Oncology
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.008 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".