Bibliographic record
Abstract
An 85-year-old woman with hypertension and hyperlipidemia presented with gradual and progressive cognitive impairment for more than 2 years, involving cognitive domains of memory, executive function, visuospatial and mood. She has short-term memory loss such as forgetting whether she has eaten or showered. She will also ask the same questions repeatedly. However, her long-term memory remains intact. She has forgotten how to cook and has recently burnt the pot while cooking on the stove. She is also unable to manage finances and often gives the wrong change while buying her usual groceries. She has lost her way a few times in places where she is familiar with. In addition, she started having mood swings, low mood, and poor sleep. Physical examination reveals mild bilateral bradykinesia, absence of postural or rest tremors, normal limb power, tone and tendon reflexes. She has lower limb apraxia and mild postural instability. Her Mini-Mental State Examination (MMSE) was 16. While she scored 0 for delayed recall, she was able to recall all 3 objects with either category or lexical cueing.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".