Mitotic kinases and phosphatases cooperate to shape the right response
Bibliographic record
Abstract
Kinases and phosphatases, two sides of the same coin; are they opposing forces that switch signals on and off or enzymes that work together to give the right type of response at the right time? It depends on how close you stand when you view the big picture. Up close and detailed, and you'll see individual phosphorylation sites as binary switches - lights being toggled on/off by antagonistic forces. Take a step back and multiple copies of the same light are being toggled, perhaps leading to a range of intensities, or a flickering pattern, lights flashing in unison or at random. It depends what the signal requires. Stand even further back, let the story unfold, and you'll see a dazzling multicolour array of different lights. A coordinated sequence of color that appears to burst into life at different times in different places, with a pace that is both frantic and serene. This is a vision of mitosis and what a true spectacle it is.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.018 | 0.019 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".