Adult ADHD: What It Is and How to Assess and Treat It
Bibliographic record
Abstract
4.4% of the adult population, and is also prevalent in 10% of those with depressive or anxiety disorders and in 20% of those with chronic low mood. Among patients referred for treatment-resistant depression, one in three may have undiagnosed ADHD. Overall, ADHD is poorly understood, significantly undertreated, and a common reason for poor response to treatment in mood and anxiety disorders. ADHD is not a consequence of poor parenting, indulged laziness, or excessive consumption of sugar or food dyes. It is a neurodevelopmental disorder, a “hardwiring” problem, marked by delayed maturation of the Prefrontal Cortex and allied subcortical regions that constitute the “adult” brain. When we are young, we have limited self-control: we take what we want, say what we think, get excited, cry, and live in the moment. As our brains mature, we learn to control our behaviours, manage our emotional reactions, prioritize tasks, plan, and follow through on those plans. In individuals with ADHD, this maturation is delayed and too often remains incomplete.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".