Experimental setup and results of independent component analysis (ICA) and source reconstruction
Bibliographic record
Abstract
Experimental setup and results of independent component analysis (ICA) and source reconstruction. (A) EEG was recorded using a 128-channel recording cap based on the 5% positioning system. Marked on the illustration are the two clusters of electrodes used in subsequent sensor analyses.On each trial, a participant would see a fixation cross for 500ms, followed by an action or abstract prime word (L1 or L2) displayed for 150ms. After a 700ms blank screen, the probe action word (L1 or L2) would appear for 150ms. (B) Topographic maps for the two mu rhythm ICA clusters. For each cluster, individual participant components are shown, as well as the cluster average topography. Both mu clusters exhibited the characteristic scalp map distributions and spectral profiles. (C) Source localization was performed on the ICA components via dipole fitting. Equivalent dipole density (in dipoles per mm3) is plotted for the two mu clusters on slices of the Montreal Neurological Institute (MNI) MRI template brain image, using standard MNI coordinates.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.007 |
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".