Abstract ADV25: Relentless in the fight against blood cancer: The Leukemia & Lymphoma Society.
Bibliographic record
Abstract
Abstract Founded in 1949, The Leukemia & Lymphoma Society (LLS) is the world's largest voluntary health organization desiccated to funding blood cancer research and providing education and patient services. Our Mission: cure leukemia, lymphoma, Hodgkin's disease and myeloma and improve the quality of life for patients and their families. What we do: Invest in blood cancer research. Provide critical information and support for patients and their families. LLS's innovative programs and services are reviewed by nationally recognized thought leaders in hematology and oncology, helping us provide the best services to our patients. Advocate for issues impacting blood cancers. Why: An estimated 1.1 million people in the United States are living with, or are in remission from leukemia, Hodgkin lymphoma, non-Hodgkin lymphoma or myeloma. Who we serve: In additional to our national headquarters in White Plains, NY, we have a network of 61 chapters throughout the United States and Canada. Our constituents live in urban, suburban and rural communities, seek treatments and large comprehensive cancer centers and community clinics and represent cultures from around the world. We work in partnership with community organizations, treatments centers and government agencies to deliver quality cancer support services to patients in our region. We work in partnership with other oncology and health organizations to meet the needs of underserved people within our community. Citation Format: Lauren Wilkerson. Relentless in the fight against blood cancer: The Leukemia & Lymphoma Society. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr ADV25. doi:10.1158/1538-7445.AM2013-ADV25
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.146 | 0.101 |
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".