Bibliographic record
Abstract
Primary progressive aphasia (PPA) is a progressive loss of specific language functions with relative sparing of other cognitive domains at least for the first few years of the illness. Based on the constellation of symptoms, PPA has been recently classified into a nonfluent, semantic, or logopenic variant. Nonfluent variant PPA is characterized by dysfluent and effortful speech, often combined with agrammatism. Also, some patients have initially predominant apraxia of speech. The neuroimaging findings in nfvPPA are in most cases progressive atrophy within the left inferior, opercular, and insular regions. Pathology is a tauopathy (FTLD-T), most often Pick's disease or CBD. Semantic variant PPA, on the other hand is characterized by fluent, but circumlocutory speech, then severe anomia and word-finding difficulties, all being associated with a progressive loss of lexical-semantic knowledge. As the disease progresses, the semantic impairment typically becomes multimodal. The clinical picture of svPPA is often associated with atrophy of the anterior regions of the temporal lobes, usually more prominent on the left side. The majority of these patients have TDP-43 pathology. The third, most recently described form of PPA is the logopenic variant characterized by decreased spontaneous speech output with frequent word-finding pauses, phonologic parahpasias, and repetition deficits. It resembles aphasia in Alzheimer's disease. Imaging abnormalities in lvPPA have been predominantly found in the left temporo-parietal junction area, and the pathological changes have been often those of AD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.024 |
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".