Bibliographic record
Abstract
This chapter talks about a 62-year-old right-handed lady who consulted her family doctor when she noticed that she was unable to use her knitting needle properly with her left hand. The provisional diagnosis was Corticobasal Syndrome (CBS) based on the combination of subtle asymmetric extrapyramidal findings and prominent apraxia. CBS is an akinetic-rigid clinical syndrome characterized by lateralized motor and cognitive signs, such as rigidity, dystonia, spontaneous or stimulus-sensitive myoclonus, apraxia, alien limb phenomenon, cortical sensory loss, and aphasia. This clinical syndrome has been associated with many pathological entities other than CBD, including Progressive Supranuclear Palsy (PSP), Alzheimer's disease, Creutzfeldt-Jakob disease, and many diseases in the spectrum of Frontotemporal Lobar Degeneration (FTLD): Pick's disease, Frontotemporal Dementia (FTD) with ubiquitin-positive inclusions, FTD due to mutations of MAPT and PGRN. Ante-mortem diagnosis can be difficult because proposed criteria lack sensitivity and specificity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".