Investigating the effect of temperature on large aggregate conversion of surfactant from ground squirrels
Bibliographic record
Abstract
During hibernation, ground squirrels’ body temperature is 5°C. Our research focuses on pulmonary surfactant during hibernation. Surfactant is a phospholipid‐rich material which regulates surface tension at the alveolar surface. A change in surface‐area during respiration leads to conversion of the large aggregate form of surfactant to the small aggregate form. Since temperature affects aggregate conversion, we tested the hypothesis that hibernation led to less conversion of large to small aggregates. Lungs of hibernating and summer active ground squirrels were lavaged to obtain large and small aggregates which were measured by a phospholipid‐phosphorous assay. Surface‐area cycling was performed at 37°C and 4°C to determine large aggregate conversion. Total amounts of large aggregate were higher in hibernating squirrels compared to summer active group. The large aggregates from all groups underwent a conversion to a greater extent at 37°C than at 4°C. Changes in large aggregate pool sizes occur during hibernation, in vitro aggregate conversion data suggests this may be as a result of reduced aggregate conversion at low temperatures. Funding: Canadian Institutes for Health Research.
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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".