Illustrated capsules from the Advanced Course in Platelet Research
Bibliographic record
Abstract
This series of illustrated capsules summarizes the presentations made by the speakers at the first International Advanced Course in Platelet Research held in Murcia (Spain) from 27 to 28 September, 2024. This is the first course to receive a Fundamental Research Workshop Grant from the International Society on Thrombosis and Haemostasis (ISTH) and was also supported administratively and scientifically by the Spanish Society of Thrombosis and Haemostasis (SETH). This unique course focused on new methodologies applied in platelet research and how these are increasing our understanding of platelet formation, their multifunctionality in different physiological and pathological contexts, and contributing to the development of new platelet-targeted therapies to improve the management of hemostatic/thrombotic pathologies. It aligns with the objectives of several Scientific and Standardization Committees of the ISTH, including Platelet Physiology and Genomics in Thrombosis and Haemostasis, as well as with the academic objectives of the ISTH and SETH. The program was designed by the coordinator (J. Rivera), and the scientific advisory board (SAB: S.P. Watson, K. Freson, A. Balduini, and J. Di Paola) and comprised 9 scientific sessions with 25 presentations, each with time for extensive open discussion. Additionally, 33 abstract posters were presented, with the 3 highest scoring selected as oral presentations. The course was held in a single location and with an informal atmosphere to facilitate networking among participants. The course received very positive feedback from the 140 attendees. The course was supported by the ISTH, SETH, University of Murcia, CIBERER-ISCIII, Fundación Séneca (22426/OC/24), the United Kingdom Platelet Society and various pharmaceutical companies. We believe that the extraordinary scientific and human experience of this course may act as a stimulus for future courses.
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 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.432 | 0.220 |
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".