Additional file 6 of Examining the relationship between maternal body size, gestational glucose tolerance status, mode of delivery and ethnicity on human milk microbiota at three months post-partum
Bibliographic record
Abstract
Additional file 6: Figure S2A-E. Visual representation of the association between maternal characteristics and milk microbiota beta-diversity (Bray-Curtis metric). Principal coordinate analysis (PCoA, Bray-Curtis dissimilarity) plots comparing microbiota composition based on (A) maternal glucose tolerance, (B) mode of delivery, (C) pre-pregnancy BMI, (D) 3-month post-partum BMI, and (E) ethnicity. PCoA using the Bray-Curtis dissimilarity showed that microbiota profiles separated based on pre-pregnancy BMI (R2 = 0.037, p = 0.031), even after adjustment for maternal glucose tolerance status, mode of delivery, DNA extraction batch, and PCR sequencing batch. No statistically significant findings were observed between beta-diversity and glucose tolerance, mode of delivery, 3-month post-partum BMI or ethnicity. Abbreviations: GDM, gestational diabetes mellitus, IGT, impaired glucose tolerance; CS, C-section.
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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 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.873 | 0.118 |
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".