Frequency-dependent volumetric distribution of somatosensory evoked magnetic fields
Bibliographic record
Abstract
was btained fr m all subjects. During the experiment, the subjects sat in a c mf rtable chair in a magnetically shielded r m with eyes pen. The right median nerve was electrically stimulated with a c nstant vltage, square-wave pulse f 0.2 ms durati n delivered transcutane usly at the wrist. Stimulus intensity was adjusted t the l west level t pr duce a twitch f the thumb. The interstimulus intervals varied rand mly fr m 2 s t 4 s. SEFs were rec rded with a 64-channel wh le-head MEG system with third- rder SQUID gradi meters (Wh le-Head Squid System M del 100,tem Ms5G57Gsq6II0Fs rt C quitlam, B.C., Canada) [8]. MEG signals were digitized at a sampling rate f 1250 Hz and filtered with a 400 Hz n-line l w pass filter. N tch filters were used at 60 Hz and 120 Hz t eliminate AC line n ise. The data f 1200 ms durati n with a 600 ms pre-stimuli interval were c llected f r each f 100 trials. The head p siti n was registered with the l calizati n c ils at the nasi n and bilateral preaur
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".