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
At first, Michael Serpe and Keady Smyth weren’t thrilled to find Smyth’s lab bench littered with broken glass. Smyth, a University of Alberta senior, had been working in the lab the night before, coating glass slides with polymeric hydrogels as part of a project to create water-quality sensors. But when the professor and undergrad returned to lab the next day, they found that the slides had snapped spontaneously during the night. Their initial frustration soon turned to puzzlement; they weren’t sure how to stop it from happening again. Still, Serpe had ideas. He asked Smyth to redo the experiment—but this time swap out the glass slides for plastic ones. The next morning’s result confirmed Serpe’s suspicions. The samples were intact, but instead of being the flat sensor surfaces the pair was hoping for, the slides had rolled up into small scrolls. The hydrogel coating shrank extensively as it dried: On
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) | 0.004 | 0.006 |
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