Highlights of the 2019 Society for Neuro-Oncology Inaugural Brain Metastases Conference: establishing a dedicated meeting to address an unmet need in the field
Bibliographic record
Abstract
Brain metastases comprise the majority of central nervous tumors in adults and confer poorer survival for patients with primary cancer. Systemic disease control is improving with advances in treatment for primary tumors and the complexity of brain metastases management is increasing with multimodality approaches incorporating combinations of surgery, radiotherapy, chemotherapy, targeted therapies, and immunotherapy. Accordingly, the Society for Neuro-Oncology established an annual brain metastases conference to unite colleagues from multiple disciplines with content spanning a range of timely topics relevant to improving our understanding of brain metastases and how they are optimally treated. The inaugural meeting on August 16-17, 2019 was very successful with 163 impactful presentations being delivered to a large multidisciplinary audience on current research advances in the field of neuro-oncology. This review summarizes the major themes of the meeting and highlights the main findings presented.
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 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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".