Additional file 1 of CSF tau368/total-tau ratio reflects cognitive performance and neocortical tau better compared to p-tau181 and p-tau217 in cognitively impaired individuals
Bibliographic record
Abstract
Additional file 1: Supplementary figure 1. Baseline CSF tau368 concentrations. Supplementary figure 2. Correlation between CSF tau, cognition and tau PET with age. Supplementary figure 3. ROC curves for identifying Braak stages. Supplementary figure 4. Correlation between CSF tau biomarkers and hippocampal volume. Supplementary table 1. Correlation between CSF tau biomarkers and tau PET SUVr. Supplementary table 2. Correlations with tau PET imaging and cognition using ratios with p-tau in the group with symptomatic AD. Supplementary table 3. The relationship between CSF p-tau217 and PET imaging. Supplementary table 4. The relationship between CSF p-tau181 and PET imaging. Supplementary table 5. The relationship between CSF t-tau and PET imaging. Supplementary table 6. Correlation between global cognition and CSF biomarkers in the whole group.
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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 | 0.001 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.891 | 0.168 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".