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
Introduction: Mapping the integrity of corticospinal tract with e-field navigated transcranial magnetic stimulation (nTMS) can bring additional information to standard clinical findings for multiple sclerosis (MS) patients. The present study aimed to examine functional integrity of corticospinal tract of relapsing remitting MS patients in two-year follow by combining magnetic resonance imaging (MRI) indices and MS related characteristics (i.e. Expanded Disability Status Scale - EDSS), Functional Systems Score -FSS). Methods: The study includes15-20 relapsing remitting MS patients, undergoing following examinations in two-year follow up, starting from February 2022: a) MRI assessment including McDonald’s criteria and additional evaluation of corticospinal tract including subcortical white matter in the primary motor cortex (M1), capsula interna, cerebral peduncles and ventral parts of the midbrain and pons, and ventral and lateral parts of the cervical spinal cord.; b) nTMS mapping of the M1 for representation of upper and lower extremity muscles and recording motor evoked potentials (MEP) from target muscles. Following nTMS measures are investigated: resting motor threshold-RMT, 120% RMT intensity, MEP latency, and MEP amplitude.; c) Neurological examination and medical history included the following measures: EDSS score, FSS corticospinal/pyramidal score, MS disease duration, drug intake duration, and comorbidities other than MS. Results: The study will present findings of corticospinal tract integrity in two-year follow up in relapsing remitting MS patients. The study will present correspondence of nTMS findings with MRI and EDSS assessment of corticospinal tract integrity. Conclusion: Longitudinal nTMS monitoring by MEP assessment represents additional subclinical marker of corticospinal tract integrity in MS.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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