Current Perspectives on Data Sharing and Open Science in Pharmacogenomics
Bibliographic record
Abstract
Genome-wide association studies (GWAS) summary statistics provide opportunities to accelerate human genomics research.In pharmacogenomics, assembling large, statistically powerful sample sizes is challenging, emphasizing the vital role of data sharing.To investigate data sharing practices in this field, we reviewed the availability of GWAS summary statistics in 593 pharmacogenomic GWAS articles and found that only 2% contained links to publicly available summary statistics.This highlights the need for improved data sharing initiatives within the pharmacogenomics community.
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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 | 0.230 | 0.303 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.007 | 0.014 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.024 | 0.061 |
| Open science | 0.012 | 0.023 |
| Research integrity | 0.022 | 0.025 |
| Insufficient payload (model declined to judge) | 0.028 | 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".