IP4OS - Unpacking the Possibilities of Intellectual Properties for Open Science
Bibliographic record
Abstract
IP4OS is a project funded under Horizon Europe (grant agreement No. 101188026). With a strong consortium of eight partners, the project seeks to revolutionise and strengthen research knowledge valorisation by promoting a coordinated approach between intellectual property (IP) management and open science (OS) practices. The project supports research institutions and researchers in understanding the full value(s) of their project outputs and in identifying the most suitable strategies to maximise impact—whether through tailored IP approaches, OS practices, or a thoughtful combination of both to create economic, societal, and/or environmental benefits. Through this integrated approach, the project connects flexible and context-appropriate IP tools with the open sharing of FAIR research outputs to enable more effective and responsible valorisation. Through it's evidence-based analysis of IP and OS interplay, engaging campaign activities and participatory training programme IP4OS establishes a Community of Practice that is empowered to boost Europe's R&I eco-system through IP and OS. This proposal describes IP4OS's activities and project goals.
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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.046 | 0.024 |
| Open science | 0.032 | 0.049 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".