Subcortical Gray Matter Aging and Attentional Control in Amateur Musicians and Non-Musicians: the dataset
Bibliographic record
Abstract
The objective of this study was to investigate age-related changes in subcortical grey matter structures involved in attentional control, and to examine the relationship between subcortical decline and performance on a test of attention and inhibition in adults engaged in musical and non-musical activities. Data were collected from 109 healthy adults, divided into three groups: 34 amateur singers (mean age = 61.62 ± 16.19 years; range 23–88; 65% female), 38 amateur instrumentalists (mean age = 52.47 ± 18.82 years; range 20–88; 32% female), and 37 controls (mean age = 55.57 ± 18.97 years; range 20–87; 49% female). The dataset contains aggregated measures used for group-level statistical analyses, allowing replication of the published findings and enabling new analyses on subcortical volumetric data in this sample.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.010 |
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".