Bibliographic record
Abstract
Objective: To study the time correlation in inducing the monocyte-derived-dendritic cells (MDDC) by the serum of sys- temic lupus erythematosus (SLE) . Methods: The purified normal monocytes, cultured in GM-CSF/IL-4 and Normal serum and SLE serum, were collected on the third, fifth and seventh day. Flow cytometric was used to identify the surface markers, and mixed leukocyte reaction to assess the function. Results: On day 3, monocytes were clustered and differentiated into dendritic cells (DCs) identified by scan electronic microscopy in SLE Serum, as the GM-CSF/IL-4 system, while Normal serum lacked the effects mentioned above. Phe-notypical evaluation revealed that HLA-DR expression in GM-CSF/IL-4 system always ranked top, while CD80 projected with the addition of LPS. Normal serum could not boost HLA-DR and CD80, yet, in SLE serum system, monocyte did differentiate into DCs that express higher HLA-DR and CD80. The stimulation index (SI) of mixed leukocyte reaction (MLR) of MDDC induced by the SLE serum peaked at the fifth day and slipped at day 7. Conclusion: SLE serum could induce normal monocytes into DCs that is highly correlated with the culture time.
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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".