P3G — 10years of toolbuilding: From the population biobank to the clinic
Bibliographic record
Abstract
Over the past ten years, the Public Population Project in Genomics and Society ("P(3)G") has grown as a consortium. It has expanded its range of services and resources to adapt to the ever-evolving needs of the research community. From its outset - when P(3)G first tackled the building of biobanks as resources as well as data cataloguing and harmonization for data integration - to its new mission and vision, it has continually developed the tools for the conceptualization and design of population biobanks from their inception to their use to their closure. In so doing, P(3)G has become key in fostering research infrastructures to facilitate transition to the clinic. The consortium has become a crucial stakeholder in the international scientific, ethical, legal, and social research communities.
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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 | 0.080 | 0.094 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.007 | 0.031 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.034 | 0.019 |
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".