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
![Figure][1] CREDIT: ESHEL BEN-JACOB What looks like a fractal design—or perhaps a kelp forest seen from a distance—is actually an art piece created by nonhuman painters. This growing colony of Paenibacillus bacteria and other “microbial art” made their debut on 22 October in a new online gallery, [www.microbialart.com][2]. The gallery's founder, evolutionary biologist T. Ryan Gregory of the University of Guelph in Canada, started making microbial art for a campus exhibit inspired by Charles Darwin, evolution, and biodiversity. He soon discovered others around the world using bacteria and fungi as an artistic medium, such as Eshel Ben-Jacob, a physicist at Tel Aviv University in Israel, who created this piece. Some draw patterns with solutions of luminescent bacteria. Others, like Ben-Jacob, grow colonies in nutrient-limited agar to encourage them to spread out in complex search patterns. The gallery should “help visitors to gain an appreciation for the beauty of organisms that we normally never see,” says Gregory, “or indeed which we often fear.” [1]: pending:yes [2]: http://www.microbialart.com
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.046 |
| Open science | 0.005 | 0.001 |
| 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