Piel de emoción y LEDs = A skin of emotions and LED's
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
Loss of the tumor suppressor PTEN is a common occurrence in prostate cancer. This aberration leads to the ectopic activation of the PI3K-Akt pathway, which promotes tumor growth. Here, we show that the transcription factor Gata3 is progressively lost in Pten-deficient mouse prostate tumors as a result of both transcriptional down-regulation and increased proteasomal degradation. To determine the significance of this loss, we used conditional loss- and gain-of-function approaches to manipulate Gata3 expression levels in prostate tumors. Our results show that Gata3 inactivation in Pten-deficient prostates accelerates tumor invasion. Conversely, enforced expression of GATA3 in Pten-deficient tissues markedly delays tumor progression. In Pten-deficient prostatic ducts, enforced GATA3 prevented Akt activation, which correlated with the down-regulation of Pik3cg and Pik3c2a mRNAs, encoding respectively class I and II PI3K subunits. Remarkably, the majority of human prostate tumors similarly show loss of active GATA3 as they progress to the aggressive castrate-resistant stage. In addition, GATA3 expression levels in hormone-sensitive tumors holds predictive value for tumor recurrence. Together, these data establish Gata3 as an important regulator of prostate cancer progression.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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