Cognitive Outcomes after Repetitive Transcranial Magnetic Stimulation for the Treatment of Late-Life Depression
Bibliographic record
Abstract
comparison of the SICI outputs between two groups of entrepreneurial self-identification revealed a p-value of <.05 (z-score of 1.68343), indicating a significant difference.No significant differences in rMT and SP were found between the groups.Furthermore, no significant differences were identified in the SWLS scores of individuals within the same groups who held opposite self-identification of entrepreneurship.Conclusion: The analysis yielded no evidence to substantiate the hypothesis that self-identification as an entrepreneur is associated with elevated levels of rMT and SP in young males.It is noteworthy, however, that the SICI-MEP was demonstrated to effectively differentiate individuals.The methodology employed provides valuable insights into the physiological aspects of entrepreneurship, allowing for further comprehensive and extensive study.Acknowledgement: This work is an output of a research project implemented as part of the Basic research program at the HSE university (International laboratory for experimental and behavioral economics; Institute for cognitive neuroscience).
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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) | 0.001 | 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".