Influences of pregnancy on the core temperature response to ip TNF[alpha] in rats
Bibliographic record
Abstract
Pregnant (P) rats exhibit hypothermia in response to doses of E. coli LPS that elicit fever in nonpregnant (NP) rats. In NP rats, LPS elicits significant increases in plasma concentrations of IL‐1β, IL‐6, IL‐1ra and TNFα whereas in P rats, LPS elicits significant increases in antipyretic/cryogenic cytokines (i.e., IL‐1ra & TNFα) but not in pyrogenic cytokines (i.e., IL‐1β & IL‐6). The present experiments were carried out on 58 NP and 56 near‐term P chronically‐instrumented and conscious rats to investigate the influence of pregnancy on the core temperature (Tc) responses to i.p. TNFa. In NP rats, doses of TNFa ranging from 0.1 to 1000 µg/kg produced significant increases in Tc (i.e., fever). In P rats, however, TNFa did not elicit fever but produced hypothermia in doses of 10µg/kg and greater. Thus, our data provide insight into the possible role that TNFα plays in mediating the differential Tc response to LPS in NP and P rats.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".