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
It is difficult to think of an aetiological theory that has not been suggested to explain multiple sclerosis. Disconcertingly, however, many of the aetiological questions asked over 150 years ago are still unanswered.1 Is the disease due to a vascular defect as initially suggested by Rindfleisch in 1863, who noted a blood vessel in the centre of each plaque, or is it a defect in the glial tissue as argued by Charcot in 1868 after he viewed and drew the glial and nerve changes under his microscope? Oppenheim was certain that multiple sclerosis was caused by environmental toxins. In the middle of the 20th century interest centred around the possibility that it was an immunological disease and, more recently, a genetic disease. Perhaps the most enduring questions concern a potential infectious agent. In 1894 Pierre Marie, a former student of Charcot, argued strongly that infection was the cause of multiple sclerosis and that those who disagreed had not read his papers. He did not know the …
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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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