2023 Padua Days of Muscle and Mobility Medicine: post-meeting Book of Abstracts
Bibliographic record
Abstract
The 2023 Padua Days of Muscle and Mobility Medicine (Pdm3) were held from March 29th to April 1st, 2023. Most of the abstracts were published electronically in the European Journal of Translational Myology (EJTM) 33 (1) 2023. Here we report the complete book of abstracts that confirms the interest of more than 150 scientists and clinicians from Austria, Bulgaria, Canada, Denmark, France, Georgia, Germany, Iceland, Ireland, Italy, Mongolia, Norway, Russia, Slovakia, Slovenia, Spain, Switzerland, The Netherlands and USA to gather to the Hotel Petrarca of Thermae of Euganean Hills, Padua, Italy for contributing and attending the Pdm3 (https://www.youtube.com/watch?v=zC02D4uPWRg). The 2023 Pdm3 started March 29th in the historic Aula Guariento of thePadua Galilean Academy of Letters, Arts and Sciences with the Lecture of Prof. Carlo Reggiani and ended in the late afternoon with the Lecture of Professor Terje Lømo after introductory words of Professor Stefano Schiaffino. The program followed in the Hotel Petrarca Conferenece Halls from March 30 to April 1, 2023. The extended topic interests of specialists in basic myology sciences and clinicians, collected under the umbrella neologism of Mobility Medicine, is stressed also by expansion of Sections of the EJTM Editorial Board (https://www.pagepressjournals.org/index.php/bam/board). We hope that Speakers of the 2023 Pdm3 and readers of EJTM will submit "EJTM Communications" to the European Journal of Translational Myology (PAGEpress, Pavia, Italy) by May 31, 2023 and/or invited review and original articles for the 2023 special issue: "Pdm3" of Diagnostics, MDPI, Basel, Switzerland due September 30, 2023.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.464 | 0.401 |
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".