Controlling the Uncontrolled Variation in the Diet Induced Obese Mouse by Microbiomic Characterization
Bibliographic record
Abstract
Abstract C57BL/6NTac (B6NTac) and C57BL/6NRj (B6NRj) mice were fed a high calorie diet and treated with liraglutide. 42 mice would have been needed in an ordinary one-way ANOVA to show a reduction in glycosylated hemoglobin (HbA1c) in B6NTac mice, but incorporating the sequenced fecal microbiota in a two-way ANOVA reduced the group size needed to obtain a statistical significance to 12 mice. In B6NRj mice there was no impact of liraglutide on HbA1c neither with or without microbiota incorporation. In both sub-strains, the liraglutide effect on glucose tolerance and body weight was powered by incorporation of microbiota clusters. Although B6NTac mice were genetically far more conform than the B6NRj mice, incorporation of a genetic characterization by short tandem repeats had only little impact on the outcome of data evaluation. In conclusion, incorporation of microbiota characterisation powers data evaluation in diet induced obesity mouse strains, which are influenced by the microbiota.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".