Are Human Intestinal Eukaryotes Beneficial or Commensals?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the advent of microbiology, it has been well known that each human body hosts a multitude of microbes. The magnitude of our microbial system is best reflected by the widely discussed ratio of one human cell to ten microbes. Indeed, humans and other mammals live in a consortium composed of vast arrays of viruses (these are typically called the virome), archaea and bacteria (i.e., the microbiome), along with fungi and other uni-and multicellular eukaryotes (protists and helminths, respectively) historically thought of as "parasites." It was the advent of next generation sequencing (NGS) that first allowed deeper insight not only into the composition of this "microbial zoo" but also its dynamics in relation to age, diet, health, sex, and geographic location of the host. Attention has focused primarily on the bacterial microbiome, which constitutes the most abundant and diverse segment of the human intestinal ecosystem. However, we argue that eukaryotes play important, but largely unrecognized roles and that there is much to gain by turning our attention to eukaryotic members of the gut ecosystem.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it