Bibliographic record
Abstract
Patient 1 (Figure 1) is a 48-year-old female who presented with a three to four year history of fatigue and right leg cramps, which progressed to severe muscle spasms and difficulty walking.EMG suggested Amyotrophic lateral sclerosis (ALS).She has subsequently developed bilateral upper and lower extremity and truncal weakness, and some difficulty swallowing.Patient 2 (Figure 2) is a 31-year-old male who presented with right index finger weakness.This progressed over one month to involve the entire right arm, the neck, and the left arm.Physical examination also demonstrated truncal and lower extremity weakness, as well as mildly impaired speech and swallowing.Upper and lower motor neurons were affected, with no sensory involvement.EMG suggested ALS.ALS, the most common form of motor neuron disease, is a progressive neurodegenerative disorder of unknown etiology.Most cases are sporadic but a small percentage are inherited in an autosomal dominant fashion.Diagnosis is clinical, and based on El Escorial criteria, which include the presence of upper and lower motor neuron signs and the progression of abnormalities over at least six to 12 months after disease onset.No autonomic, sensory, or cognitive involvement should be present.Although the primary role of imaging is to exclude other
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.024 |
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".