Partial Separation and Functional Characterization of Guinea Pig Basophil-Stimulating Factor
Bibliographic record
Abstract
We have previously described T lymphocyte dependent guinea pig basophil growth from bone marrow precursors in vitro. In the current studies, basophil-stimulating factor (BSF) present in mitogen-stimulated splenic conditioned medium (CM) has been functionally characterized, utilizing an assay for BSF on nonadherent bone marrow target cells. BSF was found to be heat stable, nondialyzable, and inactivated by proteases. Monosaccharides known to inhibit guinea pig lymphokines yielded a unique profile of inhibition of BSF activity and nonidentity of BSF with guinea pig migration inhibition factor, interleukins 1 or 2, and granulocyte-macrophage colony-stimulating activity, from which BSF could be separated after gel filtration. BSF-containing CM also had no detectable interleukin-3 activity as measured in a murine assay. An inverse relation was found between interleukin 2 and BSF production by peritoneal exudate T cells (PEL) stimulated with antigen. Fractionation of serum-containing and serum-free CM demonstrated a molecular size for BSF of 50,000-65,000 daltons. Guinea pig BSF is a distinct T cell dependent lymphokine with an active protein moiety which may interact with target bone marrow cells through a cell surface carbohydrate receptor.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| 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 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".