Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Electrodiagnosis with nerve conduction studies and needle electromyography has been the standard method of diagnosis of neuromuscular conditions for over 80 years. Although ultrasound technology has been in existence for approximately the same time, application of this technology to assessment of the neuromuscular system only began in the 1980s. In the past 2 decades-mainly because of advances in resolution enabled by high frequency transducers and improved image processing-ultrasound has enabled the real-time, morphologic evaluation of focal and diffuse neuropathies, motor neuron diseases, and myopathies. Although methods of nerve and muscle assessment continue to evolve (i.e., Doppler imaging to evaluate intraneural and intramuscular blood flow), nerves have most commonly been evaluated based on their cross-sectional area, which seems to correlate with nerve swelling and pathology, particularly in focal and also in some diffuse neuropathies. Qualitative and more recently quantitative measures of muscle echogenicity have been used in the assessment of myopathies and motor neuron diseases. Collection of normal values in heterogeneous populations, extremes of age and patients with differing anthropometric profiles, has helped develop tables of normal values, thereby allowed ultrasound measurements to be judged against a reference standard, as has previously been established for nerve conduction studies.
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it