A new approach of gut microbiota modulation by probiotic bacterial cells: formulation for use in metabolic endotoxemia
Bibliographic record
Abstract
ABCA1 ATP-binding cassette transporter ALD Alcoholic liver disease APA Alginate-poly-L-lysine-alginate BPI Bactericidal/permeability-increasing protein C/EBP CCAAT/enhancer-binding protein CARD Catalyzed reporter deposition CD Crohn's disease CD14 Cluster of differentiation CFU Colony-forming unit Ct Cycle threshold CVD Cardiovascular diseases DGGE Denaturing gradient gel electrophoresis DMEM Dulbecco's modified Eagle medium ELISA Enzyme-linked immunosorbent assay EPS Exopolysacharides EU Endotoxin unit(s) F Fermentation FAO Food and Agriculture Organization FBS Fetal bovine serum FDA Food and Drug Administration FISH Fluorescence in situ hybridization GC Gaz Chromatography GF Germ-free GI Gastrointestinal GIT Gastrointestinal tract GRAS Generally recognized as safe HDL High-density lipoprotein HFD High fat diet HPLC High-performance liquid chromatography IBD Inflammatory bowel diseases IFN Interferon Ig Immunoglobulin IKK IkB kinase IL Interleukin IR Insulin resistance IRAK Interleukin-1 receptor-associated kinase IRF Interferon response factor JNK c-jun N-terminal kinase
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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 | 0.001 |
| 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".