Research on Children's Event-Related Potentials by Single Chinese Character Semantics Stimulus
Bibliographic record
Abstract
Objective: To study the feature of event-related potential waveforms elicited by single Chinese Character semantic stimulus in normal children,compare and investigate the character of different types of event-related potentials.Methods: 31 10-year-old healthy children were examined with Canadian Stellate Systems 32 Channels Digital EEG and three lists of single Chinese Character semantic stimulus(related,non-related,pseudowords),While the stimulus information is shown to participants,EEG is recorded simultaneously.ERPs of three different stimuli are extracted from EEG and the P2 and N2 are analyzed.Results: The latencies of N2 and P2 in related semantic stimulus are significantly different from that in the unrelated semantic stimulus and psudowords.The amplitudes are not significantly different.The N2 waveform distributes all regions in the scalp,and there is no significant difference in right and left hemisphere.Conclusion: The waveforms and latencies of event-related potentials elicited by three types of stimuli are different.N2 is the main component of semantic stimulus,component P2 is considered to be related with the early semantic comprehension in children.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".