Bibliographic record
Abstract
Fisher, B. C., Garges, D. M., Yoon, S. Y. R., Maguire, K., Zipay, D., & Gambino, M. (2014) Sex differences and the interaction of age and sleep issues in neuropsychological test ing performance across the lifespan in an ADD/ADHD sample from the years 1989 to 2009. Psychological Reports: Disability & Trauma, 114, 2, 404–438. DOI: 10.2466/15.10.PR0.114k23w0 Dr. Colin M. Shapiro's name should have been included as the final author, and the authors' affiliations should appear as shown below: Sex Differences and The Interaction of Age and Sleep Issues in Neuropsychological Testing Performance Across the Lifespan in An ADD/ADHD Sample from the Years 1989 to 2009 Barbara C. Fisher, Danielle M. Garges United Psychological Services Sun Young Rosalia Yoon Child, Youth and Family Service, Institute of Medical Science, University of Toronto Katie Maguire, Danielle Zipay, Maria Gambino United Psychological Services Colin M. Shapiro Youthdale Child and Adolescent Sleep Centre, Canada
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 | 0.002 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.324 | 0.192 |
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".