Referee report. For: StackbarExtended: a user-friendly stacked bar-plot representation incorporating phylogenetic information and microbiota differential abundance analysis [version 1; peer review: 1 approved]
Bibliographic record
Abstract
Background Microbial communities are mainly composed of bacteria, archaea, viruses and fungi, and are present in the gut, mouth, nose, skin, lungs, vagina, and bladder, among other places. In recent years, research has highlighted the critical role that these highly complex communities play in health and disease. Advances in sequencing technology have resulted in the development of high-dimensional data, which are challenging to effectively analyze and visualize. In this context, traditional stacked bar-plot visualizations, while widely used, fall short of conveying the fundamental phylogenic relationships between community members and are thus difficult to interpret. Methods StackbarExtended is implemented in native R, required version (≥ 4.0), and is platform independent, with its source code available on GitHub and archived on Zenodo. Results StackbarExtended allows for the plotting of relative abundance at user-defined taxonomic levels while displaying phylogenetic information using color gradients. Additionally, StackbarExtended integrates differential abundance statistics directly into the visualization process and performs clustering of low-abundance taxa. Conclusions StackbarExtended offers researchers a user-friendly tool for rapid visualization, presentation, and analysis of the microbiota composition.
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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 | 0.007 | 0.090 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.843 | 0.573 |
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".