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
The Warburg effect was first described by Otto Warburg in the 1920s and describes the preferential conversion of glucose to lactate as opposed to its metabolism through the citric acid cycle to fuel oxidative phosphorylation in the mitochondria, even in the presence of oxygen. This phenotype is a common feature of malignant cells and is also observed in some highly proliferative normal tissues. The selective advantage provided by this phenotype is not entirely clear. Adopting this metabolic state may allow tumor cells to balance their need for ATP, biosynthetic precursor molecules, and reducing power in order to respond to growth and proliferation signals and may provide a selective advantage in the hypoxic and acidic microenvironments that are often a feature of solid tumors. Oncogenic signaling pathways and responses to the local microenvironment combine to produce this metabolic phenotype via a number of molecular mechanisms. A better understanding of these mechanisms in both tumor and normal tissues and a more complete understanding of how the Warburg effect interacts with the rest of the tumor metabolic network should provide opportunities for novel clinical intervention.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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