Antibody-Inhibiting Activity of Bone Marrow Cells in vitro
Bibliographic record
Abstract
Mouse bone marrow and thymus cells have been studied according to their immunological reactivity. The test system involved measurement of the levels of IgM plaque-forming cells following the immunization of spleen cells in vitro in the presence of graded numbers of syngeneic bone marrow and/or thymus cells. All experimental evidence showed the existence of a radiosensitive subpopulation of cells in the bone marrow, capable of inhibiting both the primary and secondary IgM-antibody production irrespective of the dose of antigen used in the system. That this inhibition of antibody production may represent a central control mechanism was indicated by a small change in reactivity of antibody-inhibiting cells derived from the bone marrow of tolerant or normal animals. Furthermore, the inability of supernatants from bone marrow cells, premaintamed in vitro with or without antigen, to suppress the immune response suggested the absence of a released humoral factor responsible for their antibody-inhibiting activity. An enhancement of the immune response with all doses of thymus cells and their inability to overcome the inhibiting activity of bone marrow cells suggested that these immunological events are operating independently of each other.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".