Bibliographic record
Abstract
Case Study: A 79-year-old previously fully independent male presented initially to Geriatric Medicine clinic with poor balance, back and leg pain with stiffness progressing over five months. Whilst awaiting investigations he was admitted to hospital a month later following a fall down stairs, and with a history of rapid decline, recurrent falls and reduced activities of daily living due to reduced dexterity. There were no hallucinations or memory decline reported. He was found to have increased tone on left side but no tremor or bradykinesia. Other neurological examinations were normal but he had marked dyspraxia of his left upper limb. His Montreal Cognitive Assessment score was 8/30. CT head showed small vessel disease. Initial clinical impression was possible Parkinson’s Plus syndrome and a neurologist review was sought where he was diagnosed with Corticobasal Syndrome. Supportive management was provided. Discussion: Corticobasal syndrome is a rare sporadic progressive neurological disorder with onset typically between 50 to 70 years old. Classic symptoms are asymmetric rigidity with apraxia and akinesia. Cognitive symptoms are common including visual-spatial impairment, impairments in executive functioning and dementia1. It can progress over six to eight years and death usually occurs due to complications of immobility2. Management is directed to symptom control2. Multidisciplinary input such as physiotherapy, occupational therapy and speech and language therapy is beneficial3. Distinguishing corticobasal degeneration from other similar neurodegenerative disorders is difficult and with fairly rapid progression it is important to consider this as a diagnosis to aid in management of symptoms and anticipatory care planning4.
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 | 0.003 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.004 | 0.017 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.014 | 0.017 |
| Insufficient payload (model declined to judge) | 0.019 | 0.017 |
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".