Insight into muscle physiology through understanding mechanisms of muscle pathology
Bibliographic record
Abstract
The main theme of the 44th EMC was Muscle Research in Health and Disease. It was the intention of the organizers to cover a wide range of topics focusing on muscle development and function, both in physiology and pathology. The program included the following sessions: ''Molecular motors'', ''Acto-myosin interactions'', ''Muscle cytoskeleton'', ''Muscle development and repair'', ''Neuro-muscular interactions'', ''Excitation-contraction coupling'', ''Skeletal muscle diseases'', ''Heart and heart failure'', ''Smooth muscle in health and disease'', ''Muscle metabolism and bioenergetics'' and ''Muscle exercise and plasticity''. The sessions were chaired by top scientists in these fields, including Polish muscle researchers. The organizers devoted two sessions to memorize outstanding muscle scientists who recently passed away. The session on ''Acto-myosin interactions'' was devoted to the memory of Professor Andrew Szent-Gyo rgy, and the session on ''Smooth muscle in health and disease'' was to the memory of Professor Renata Da browska. The Young Scientist Session which preceded the Conference opening ceremony consisted of two parts: (i) How to stay motivated in science and (ii) Muscle biology: from genes to muscle. The opening lecture was presented by Professor Michael Rudnicki from Ottawa University, who pioneered studies elucidating the molecular basis of muscle development.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".