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
Cell fusion into multinucleated giant cells (MGC) is an essential process that contributes to many important biological mechanisms in mammalians. In the bone and immune system, macrophages are endowed with a remarkable potential for cell fusion events as evidenced by their propensity to fuse with other cells and between themselves during both normal processes and disease. Macrophage fusion is critical for the normal development of multinucleated osteoclasts, the cells responsible for bone resorption. Macrophages from various tissue compartments also undergo fusion into MGC, a hallmark of granulomatous inflammation. To date, the mechanisms underlying macrophage fusion remain poorly understood. Receptor-ligand interactions are thought to mediate this process and several lines of evidence implicate purinergic receptors in both osteoclast and MGC formation. Notably, the P2X7 receptor for extracellular ATP is expressed in osteoclasts and in many types of granulomas associated with infection, foreign body response and sterile inflammation. Through their ability to sense extracellular cues and ATP, a messenger of intercellular communication, purinergic receptors likely contribute to cell-cell interactions that result in macrophage fusion.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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