Building a European ‘network of networks’ for stroke clinical research – The European Stroke Organisation Trials Alliance (ESOTA)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Promoting research to improve stroke prevention, acute care, and recovery is a key mission of the European Stroke Organisation (ESO). Stroke research networks may increase efficiencies and reduce waste in randomised clinical trials of stroke treatments. Several European countries have established national or regional stroke research networks, or have informal groups or stroke registers which may serve as a foundation for establishing a research network. To increase international collaboration on randomised trials for stroke in Europe, the ESO Trials Network Committee is leading the development of an alliance of national networks, the ESO Trials Alliance (ESOTA). Following initial consultation work in 2017, this paper describes an overview of progress to date in the first year of ESOTA activity. Beginning with five founding networks in England, Ireland, Netherlands, Spain, and Switzerland, ESOTA aims to gradually grow, ultimately including several hundred stroke centres and affiliated investigators working collectively on randomised trials of new stroke treatments.
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.
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 | 0.079 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it