Diagnosis of Inclusion
Bibliographic record
Abstract
An 83-year-old, right-handed female was referred for progressive weakness.Her medical history included hypertension, hypercholesterolemia, gastroesophageal reflux, and bilateral cataract removals.Her medications included pregabalin, trazodone, olmesartan, amlodipine, escitalopram, pantoprazole, aspirin, vitamins, and stool softeners.Her initial symptoms began four months before admission when she noticed her right leg was dragging when walking.Her weakness was progressive and began to involve the left leg two months after onset.Three months after onset, she was unable to ambulate and also had progressive left arm weakness.At the time of admission, four months after onset, she was unable to move both legs or her left arm.There were no significant fluctuations in her symptoms.She denied visual symptoms, facial weakness, paresthesias, swallowing difficulties, or changes in her voice.She did not have any sensory changes.The patient and family did not endorse any cognitive difficulties.Systemic review of systems was unremarkable.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 0.012 |
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".