Additional file 24 of Proteogenomic insights into the biology and treatment of pancreatic ductal adenocarcinoma
Bibliographic record
Abstract
Additional file 24: Table S2. The Impacts of Somatic Copy Number Alterations in PDAC Cohort. Table S2A Matrix of amplification peaks, followed by the genes contained in them, 95% confidence level. Table S2B Matrix of deletion peaks, followed by the genes contained in them, 95% confidence level. Table S2C Matrix of the top 10 mutated genes in PDAC of Fudan cohort. Table S2D Matrix of the 10 mutated genes used in Figure 1C of ICGC, 2012 cohort. Table S2E Matrix of the 10 mutated genes used in Figure 1C of ICGC, 2016 cohort. Table S2F Matrix of the 10 mutated genes used in Figure 1C of TCGA, 2018 cohort. Table S2G Matrix of the 10 mutated genes used in Figure 1C of UTSW, 2015 cohort. Table S2H Matrix of the 10 mutated genes used in Figure 1C of CPTAC, 2021 cohort.
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.
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 | 0.034 |
| 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) | 0.845 | 0.129 |
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".