Human electrophysiological examination of buildup of the precedence effect
Bibliographic record
Abstract
Event-related potential correlates of the buildup of precedence effect were examined. Buildup is a type of precedence effect illusion in which perception changes (from hearing two clicks to hearing one click) during a click train. Buildup occurs faster for right-leading than left-leading clicks. Continuous click trains that changed leading sides every 15 clicks were presented. Event-related potential N1 amplitudes became smaller with click train for right-leading only. N1 latency decreased with click trains. Mismatch negativity was seen after lead-lag sides were changed. When the perceived change differed in location (left-to-right), mismatch negativity peaked earlier than when the perceived change differed in location and number of clicks (right-to-left). Results suggest that buildup relates to: N1 refractoriness, event-related potential 'lead domination' and mismatch negativity differences.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".