Bibliographic record
Abstract
This spreadsheet holds the data used in the manuscript. The following list explains column names: (see ReadMe.doc for more information).subject: Each subject has a unique letter identifierAnonID: Anonymous IDGroup: PD or ControlCategory: Cognitive category. PDN = PD with normal cognition, PD-MCI = PD with Mild Cognitive Impairment, PDD = PD with dementia, HC = healthy control.Category_HC-MCI: Cognitive category. However, this time 3 controls classified as MCI are identified (C-MCI). Convert: The status of each individual at 1 year follow up. HC = healthy control, Stable = Did not develop dementia, Convert = Developed dementia at 1 year. Age_at_scan_years: Age at assessment/scanAge_base: Age as study entrytime_btw_scans_years: Time between scans measured in years.Female: 0 = male, 1 = femaleEducation: years of educationFU_1year: 1st or 2nd scantime: assessment time, either baseline (study entry) or follow up (~ 1year).time.y: time, in years, of follow up.GM_order.diff.and.avg: Subject order of the 4D files associated with grey matter (swarate_GM_44.nii.gz, swavg_GM_44.nii.gz).Exclude.motion.T1: T1 images excluded due to motion at Y0 or Y1.TBSS_order.diff.and.avg: Order of the 4D image files associated with DTI and TBSS.ASL_order.diff: Subject order of the 4D image file (sdiff_wecqCBF_43.nii.gz:).ASL_order_avg.part1: Subject order of the 4D image files (demeaned_swecqCBF_43_base_part1.nii.gz, savg_wecqCBF_43_part1.nii.gz).ASL_order_avg.part2: Subject order of the 4D image files (demeaned_swecqCBF_43_base_part2.nii.gz, savg_wecqCBF_43_part2.nii.gz).SIENA: % brain change between scans. Values only at baseline (first timepoint).DTI relative motion: average relative motion between adjacent diffusion volumes (see manuscript for details).mean FA/MD/L1/RD: mean FA /MD/L1/RD values along the white matter skeleton CBF_gm: mean grey matter perfusion (ml/100g/min), including cortex and subcortical grey.diff.FA.Y0-Y1 (same for MD/CBF): raw difference between mean FA at Y0 and Y1.per.diff.FA.Y0-Y1 (same for MD/CBF): percent difference between mean FA at Y0 and Y1.per.diff.year.FA.Y0-Y1 (same for MD/CBF): percent difference between mean FA at Y0 and Y1, divided by the time between Y0 and Y1.MoCa: Montreal cognitive assessment—global cognitive screen.UPDRS Part 3: Unified Parkinson’s disease rating scale, part 3, the motor score (only scores for PD participants).LED: Levodopa equivalent dose.Attention Total: average z score for tests in the domain of attention, working memory, and processing speed. Executive Function Total: average z score for tests in the domain of executive function.Visuo-Total: average z score for tests in the domain of visuospatial/visuoperceptual function.Language all Domains: average z score for tests in the domain of Language. Total all Domains: global cognitive score: average z score for the domain scores (attention, executive function, learning & memory, and visuospatial/perceptual)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.869 | 0.533 |
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".