Unintended Deviations of a Random Event Generator by Patients With Late Life Depression and Anxiety During a Direct Mental Influence Task
Bibliographic record
Abstract
ABSTRACT: The primary objective was to determine whether depression and anxiety influence the outcome of random microevents in a nonrandom manner in the absence of any physical intervention by using a random event generator (REG). The secondary objective was to correlate other dimensions of consciousness with the REG's output. The experimental group (n = 30) included individuals with depression, the control group (n = 15) included individuals without depression, and the comparison group (n = 10) included individuals with or without depression. It was hypothesized that those with depression or anxiety would significantly deviate the REG in the unintended direction but the whole sample did [t(49) = -2.37, p = 0.022, two tailed]. There was no significant difference between the group means [F(2, 50) = 0.12, p = 0.84] and no robust correlations between dimensions of consciousness and REG activity. Further analysis is needed to understand negative emotions in mind-matter interactions.
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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".