Cross-species Exploration of Inhibitory Control: The Role of Netrin-1/DCC System in Corticolimbic Development
Bibliographic record
Abstract
Identifying risk factors before psychiatric disorders manifest is essential for early interventions and has a broad societal impact, especially given that in Canada, nearly one-third of people will experience a mental health disorder in their lifetime.Despite the high prevalence, our current understanding of the biological basis and early indicators of vulnerability to these disorders is limited.Using the Research Domain Criteria (RDoC) framework as a guide, this thesis investigates possible neurobiological mechanisms affecting inhibitory control behaviors in mice and humans.These behaviors, characteristic of conditions such as attention-deficit/hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), and substance use disorder (SUD), rely on the interaction between corticolimbic brain regions.I hypothesized that measuring and estimating molecular processes at the tissue level can provide insights, across species, into the ongoing neurodevelopmental processes within brain substrates critical for the development of inhibitory control behaviors.The present thesis examines the role of the Netrin-1/DCC axon guidance
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".