P2‐286: CSF Inflammatory and Lipid Transporter Proteins Predict Grey Matter Density Longitudinal Changes
Bibliographic record
Abstract
sensitivity (95% CI:0.71-0.97),1.00 specificity (0.86 -1.00); AUC 0.91 (0.808-1.000) (Figure1).The aprioriliberal threshold had identical sensitivity and specificity as the ROC-derived threshold.These thresholds also distinguished between Thal phases 0-2 and 3-5 (Figure2).The aprioriconservative threshold had sensitivity of 0.68 (0.48-0.83) and specificity of 1.00 (0.86-1.0).Conclusions:The ap r i o r iliberal threshold (7.47 Centiloids) and the ROC-derived threshold (9.50 Centiloids) showed excellent sensitivity/specificity, and could be considered for detection of early amyloid signal.By the time of AAIC we anticipate processing at least 100 additional cases currently being provided by multiple sites in order to validate these preliminary results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".