Additional file 27 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma
Bibliographic record
Abstract
Additional file 27: Table S5. 8p11.22 Amplification Associated with PDAC Metastasis. Table S5A The matrix describing mutations in PDAC metastatic patients and non-metastatic patients. Table S5B Matrix of GSVA scores of pathways significantly altered in PDAC metastatic patients and non-metastatic patients, proteome level. Table S5C Matrix of xCell signatures significantly altered in PDAC metastatic patients and non-metastatic patients, transcriptome level. Table S5D Matrix describing the cis-effects of genes located on chromosome 8p11.22. Table S5E Matrix describing the expression of ADAM9-interacting proteins in PDAC metastatic patients and non-metastatic patients. Table S5F Relative abundance of WNT-signaling-related proteins and phosphosite. Table S5G MS matrix of protein groups and their relative intensities in Scrambled siRNA and ADAM9 KD groups. Table S5H List of interacting proteins of ADAM9 identified by immunoprecipitation assay. Table S5I WGCNA analysis showing module-trait relationships in PDAC patients with five different metastasis sites. Table S5J Protein expression in metastatic site-specific modules.
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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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.841 | 0.162 |
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".