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
SEQUENCING A GENOME IS just the first step in understanding the biology of an organism. Proteins really do the work. With that in mind, two groups independendy report similar methods for discovering protein complexes within yeast. Both groups use "bait" proteins to fish out protein interactions. Yeast proteins are turned into bait by attaching a tag that allows them to be captured in an irnmunoaffinity purification. The captured complexes are then separated by gel electrophoresis, and excised gel spots are analyzed by mass spectrometry (MS). A team of scientists from MDS Proteomics in Toronto and Odense, Denmark; Mount Sinai Hospital inToronto; and the University of Toronto used the method to detect 3,617 protein interactions, starting with 725 bait proteins [Nature, 415,180 (2002)}. The other team, led by Giulio Superti-Furga, vice president of biology at Cellzome AG and team leader at the European Molecular Biology Laboratory both in Heidelberg, Germany identified 232 distinct multiprotein complexes ...
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