Discovery tools for solid tumor research
Bibliographic record
Abstract
Solid tumors take center stage as a primary human health concern as they comprise the majority of cancer incidences andmortalities. It is heartening however, to note the decreasing incidence rates as well as better survival rates over the pastdecade, largely owing to preventive measures, healthy life styles and developments in diagnostic, therapeutic andmanagement areas which in turn are due to the rapid progress in cancer research. Many tools are available for cancerresearch of which, cell lines obtained from either the solid tumor site or from metastatic sites, are pivotal. More than 700cell lines have been established from solid tumors ranging from the carcinomas and lymphomas to the sarcomas. Over thepast decade, developments in cell culture techniques viz. the three dimensional culture systems and xenotransplants, haveincreased the potential application of such cell lines. Apart from the cell lines and various culture techniques, othermaterial such as tumor tissue biopsies, tissue lysates and tissue arrays from cancerous, adjacent and normal tissue aremajor contributors to cancer research. While each one has its own advantages and limitations, a combined approach givesus an over-all picture of solid tumor research development over the recent past and the future directions available.
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 | 0.005 | 0.003 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".