Altered affective, executive and sensorimotor resting state networks inpatients with pediatric mania
Bibliographic record
Abstract
The article “Altered affective, executive and sensorimotor resting state networks in patients with pediatric mania” (DOI: 10.1503/jpn.120073; authors: Wu M, Lu LH, Passarotti AM, Wegbreit E, Fitzgerald J, Pavuluri MN) published in the July 2013 issue of the Journal of Psychiatry and Neuroscience has been retracted at the request of the University of Chicago at Illinois, as communicated to our editorial offices by one of the article’s authors, Mani Pavuluri. This request follows a formal institutional investigation by the University of Chicago at Illinois that found that allegations of research misconduct against Dr. Pavuluri were supported by a preponderance of evidence. The investigation panel concluded that Dr. Pavuluri intentionally made false statements in the Results section of the article whereby the medication status of research participants whose data were included in the analyses was misrepresented, thus compromising the results and conclusions of the article. The article’s co-authors were not implicated in the research misconduct.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".