O3‐05‐04: The Efficacy of a Multi‐Modality Exercise Program Combined With Mind‐Motor Task Training for Older Adults at Risk of Cognitive Impairment on Usual and Dual‐Task Gait: A Randomized Controlled Trial
Bibliographic record
Abstract
1.09, p¼0.20).No differences in progression rates to dementia were found between the 3 risk groups.When obesity and hypertension were excluded from the index in late life, the risk for dementia increased as the index became higher (HR¼1.08,1.02-1.15,p¼0.013) and individuals in the high-risk group had an increased risk for dementia compared to those in the low-risk group (HR¼1.26,1.04-1.52,p¼0.018;Table 1).Conclusions: Our findings indicate that the LIBRA index might be a useful tool in midlife and, when adjusted, also in late life to identify individuals for primary prevention interventions of dementia and monitor individuals' risk-change over time.O3-05-04
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".