Docetaxel Plus Cyclophosphamide in Adjuvant Breast Cancer
Bibliographic record
Abstract
in tumors? Facts and fiction–more careful studies are needed. J Clin Oncol 25:1813-1814, 2007 5. Jelkmann W, Laugsch M: Problems in identifying functional erythropoietin receptors in cancer tissue. J Clin Oncol 25:1627-1628, 2007 6. Hardee ME, Cao Y, Fu P, et al: Erythropoietin blockade inhibits the induction of tumor angiogenesis and progression. PLoS ONE 2:e549, 2007 7. Ribeil JA, Zermati Y, Vandekerckhove J, et al: Hsp70 regulates erythropoiesis by preventing caspase-3-mediated cleavage of GATA-1. Nature 445:102-105, 2007 8. Lester RD, Jo M, Campana WM, et al: Erythropoietin promotes MCF-7 breast cancer cell migration by an ERK/mitogen-activated protein kinasedependent pathway and is primarily responsible for the increase in migration observed in hypoxia. J Biol Chem 280:39273-39277, 2005 9. Janicke RU, Sprengart ML, Wati MR, et al: Caspase-3 is required for DNA fragmentation and morphological changes associated with apoptosis. J Biol Chem 273:9357-9360, 1998
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".