Variation in genes involved in neural plasticity -- risk for childhood psychiatric disorders
Bibliographic record
Abstract
Deficits in neural plasticity, the ability of neural networks to modify structurally and functionally in response to internal and external stimuli, have been suggested to predispose individuals to psychiatric disorders. Two receptors, the N-methyl D-aspartate receptor (NMDAR) and the receptor tropomyosin-related kinase B (TrkB) are critical to neural plasticity pathways. First, this thesis tested the hypothesis that variation in the NMDAR subunit gene glutamate receptor, ionotropic N-methyl D-aspartate (GRIN2A) is involved in genetic susceptibility to attention-deficit/hyperactivity disorder (ADHD). Linkage between GRIN2A and ADHD was not observed. In addition there was no significant evidence of a relationship between GRIN2A and three cognitive phenotypes, verbal short-term memory, verbal working memory and inhibitory control. This thesis tested a second hypothesis that variation in the neurotrophic tyrosine kinase, receptor, type 2 (NTRK2) gene, which encodes TrkB confers susceptibility to childhood-onset mood disorders (COMD). There was no significant evidence of association between NTRK2 and COMD.
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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 | 0.000 |
| 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) | 0.010 | 0.001 |
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".