Arendt and Adorno: Political and Philosophical Investigations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PD-1/PD-L1 axis represents an important target for renormalizing and resetting anti-tumor immunity in cancer patients. Currently, anti-PD-1/PD-L1 therapy has been applied in a broad spectrum of tumors and has yielded durable remission in patients. However, how to further broaden the application, guide personalized therapeutic strategies, and improve clinical responses remains a vital task. At present, PD-L1 expression is an important parameter of clinical indications for immune checkpoint blockade in many types of cancers, a strategy based on the supposition that positive PD-L1 expression reflects local T cell response. Recent studies have revealed that PD-L1 expression is regulated by multiple layers of complicated factors, during which the host immune microenvironment exerts a pivotal role and determines the clinical efficacy of the therapy. In this review, we will summarize recent findings on PD-1/PD-L1 in cancer, focusing on how local immune landscape participates in the regulation of PD-L1 expression and modification. Importantly, we will also discuss these topics in the context of clinical treatment and analyze how these fundamental principles might inspire our efforts to develop more precise and effective immune therapeutics for cancer.
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.
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 | 0.000 | 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 | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it