Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Individuals differ in the extent to which they respond negatively to uncertainty. Although some individuals feel little discomfort when facing the unknown, those high in neuroticism find it aversive. We examined neurophysiological responses to uncertainty using an event-related potential framework. Participants completed a time-estimation task while their neural activity was recorded via electroencephalography. The feedback-related negativity (FRN), an evoked potential that peaks approximately 250 ms after the receipt of feedback information, was examined under conditions of positive, negative, and uncertain feedback. The magnitude of these responses was then analyzed in relation to individual differences in neuroticism. As expected, a larger FRN was observed after negative feedback than after positive feedback for all participants. For individuals who scored highly on trait neuroticism, however, uncertain feedback produced a larger neural response than did negative feedback. These results are discussed in terms of affective responses to uncertainty among neurotic individuals.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it