Bibliographic record
Abstract
Multiple screens performed in Drosophila, Caenorhabditis elegans, Xenopus, and zebrafish have identified dozens of proteins participating in Wnt signal transduction. Epistasis experiments, enhancer and suppressor screens, and protein-protein interaction techniques have also been efficient at finding new pathway members, connecting proteins together, and establishing the architectural framework of how the Wnt signaling pathway functions. In the last few years, spectacular technological breakthroughs in the field of mass spectrometry have allowed the study of proteins and peptides with unprecedented sensitivity and accuracy. Recently, we have developed methods to study the Wnt pathway using mass spectrometry by studying the composition of protein complexes isolated from mammalian cells. In addition to identifying novel proteins acting in this pathway, this approach is providing information about the supramolecular organization of the protein complexes in the pathway and how the individual proteins are activated and regulated. This chapter details the experimental procedure that we developed to study mammalian protein complexes using a gel-free mass spectrometry approach.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 0.001 |
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".