Bibliographic record
Abstract
Aim:To investigate the cognitive function impairment of patients with cerebral white matter lesion(WML) at different extent and different location.Methods:According to MRI T2 weighted-imaging and FLAIR imaging,75 patients were first classified into 3 subgroups(mild,moderate,and severe) depending on the extent,then were classified into 2 subgroups(periventricular lesions and deep WML) depending on the location.Thirty normal people were regarded as control group.Cognitive performance was assessed using the Montreal Cognitive Assessment(MoCA).Results:Compared with control,WML group had significantly low scores in total MoCA score,visual spatial,executive function,language,memory and orientation.Moderate and severe subgroups had significantly low scores in attention,calculation and abstraction;severe subgroup had significantly low scores in naming(P 0.05).The periventricular lesion subgroup had significantly low scores in total MoCA score,calculation,language,abstraction,memory and orientation,and insignificantly high scores in visual spatial,executive function or attention compared with deep WML subgroup.Conclusion:Patients with WML undergo cognitive function impairment,especially in visual spatial,executive function,language,abstraction,memory and orientation.Periventricular and deep WML may have different influence on cognitive function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".