Bibliographic record
Abstract
a unique challenge to researchers and clinicians.The approval of three efficacious and safe therapies (nusinersen, risdiplam, and onasemnogene abeparvovec) led to a breakthrough in the management of SMA.With regard to ALS, diagnostic and prognostic procedures have remained relatively unchanged, apart from genetic testing.Neurofilament light chain and phosphorylated neurofilament heavy chain have emerged as possible diagnostic and prognostic biomarkers in serum and cerebrospinal fluid of the ALS patients.On the other hand, as NfL and pNfH levels are elevated in many neurodegenerative diseases, their clinical utility might be insufficient.Available treatment options for ALS are limited and not curative.Three disease modifying drugs have been approved by the US Food and Drug Administration (FDA), including riluzole, edaravone, and AMX0035.Due to contradictory results in clinical trials, edaravone and AMX0035 have not been approved in most of the European countries.Currently, the multidisciplinary supportive care provided by medical practitioners in neurology, pulmonology, gastroenterology, rehabilitation, and palliative care continues to be the core stone of MND management.Our book aims to discuss the latest developments in the field of MNDs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.094 | 0.052 |
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".