Prolonged dormancy of human liposarcoma is associated with impaired tumor angiogenesis
Bibliographic record
Abstract
Regarding the article (doi: 10.1096/fj.05-3946com) entitled “Prolonged dormancy of human liposarcoma is associated with impaired tumor angiogenesis” (FASEB J. 2006 20: 947-949), by Nava Almog, Vanessa Henke, Ludmila Flores, Lynn Hlatky, Andrew L. Kung, Renee D. Wright, Raanan Berger, Lloyd Hutchinson, George N. Naumov, Elise Bender, Lars A. Akslen, Eike-Gert Achilles, and Judah Folkman, the authors wish to add the following acknowledgement: We are most grateful for Soo-Young Kang and Randy Watnick for analysis of TSP-1 levels in tumor cells and in conditioned medium. We thank Catherine Butterfield for helping with cornea assays, Gerry Jackson for help with CAM assays, Sarah Short and Michael Fannon for migration assays and Ronit Satchi-Fainaro for performing Mile's assays and for helpful discussions and comments. The authors regret any inconvenience caused by this error.
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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 | 0.000 |
| 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) | 0.003 | 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 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".