Bibliographic record
Abstract
Chemotherapy, radiation therapy, and surgery are currently the most widelyused cancer treatment modalities. Although these therapies have successfullybeen used to treat various cancers, they are accompanied by significantlimitations. Cancer immunotherapy, an emerging field of study named thebreakthrough of the year in 2013 is offering hope for an era of new anticancermodalities.1 In addition to serving as a safeguard against infectiousdisease, the immune system also prevents and delays tumour development..Scientists have developed various immunotherapeutic treatments, eachtargeting different aspects of the immune system. One therapy involvesgenetically engineering T lymphocytes with chimeric antigen receptors (CARs)that enhance the ability of T-cells to recognize and eliminate cancer cells. CART-cell therapy has been highly effective in several clinical trials, eliminatingdetectable tumour mass in several patients with B-cell malignancies andsolid tumours.2 This article will provide background into the field of cancerimmunotherapy, the structure and function of CARs, and recent developmentsin CAR-T-cell therapy.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".