Bibliographic record
Abstract
Researchers today have access to a vast aggregation of human and nonhuman genomic data, largely on an open access basis. According to the Joint Genome Institute's Genomes OnLine Database (GOLD), data from more than 40,000 sequencing projects around the world, representing more than 375,000 different organisms, were publicly available to researchers as of July 2020. The availability of this tremendous public resource is due, in large part, to the data release policies developed a quarter century ago, toward the beginning of the Human Genome Project (HGP), which have been carried forward, in modified form, to the present. These policies impose requirements on both the generators of data (typically the sequencing centers and other laboratories conducting genetic experiments) and the users of that data (that is, researchers who download and/or use it). This article, briefly outlines the history of such data release policies, particularly in the US and with respect to human genomic data, and provides an overview of the obligations imposed on both data generators and data users.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.001 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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; both teacher heads agree on what is shown here.
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".