Influence of Developmental Δ9-Tetrahydrocannabinol Exposure on Longitudinal Cognitive Flexibility and Neuron Morphology in the Prefrontal Cortex: A Research Protocol
Bibliographic record
Abstract
Cannabis is one of the most commonly used substances during pregnancy. The components of cannabis are able to cross the placental barrier. Furthermore, perinatal cannabis exposure in affected offspring has been associated longitudinally with cognitive deficit in the form of attention. Therefore, we hypothesize that developmental Δ9-tetrahydrocannabinol (THC) exposure affects cognitive flexibility and leads to permanent neuron morphology changes in affected offspring. We propose to test these hypotheses in the offspring of 25 C57BL/6 THC-exposed pregnant mice by conducting a visual discrimination with reversal task (VDR) at post-gestational day 40 (P40), P80, P120 and a Golgi-Cox staining protocol at P140 in pyramidal cortical neurons of layer II/III and VI of the prefrontal cortex. The combination of this behavioural paradigm and the dendrite analysis for length, diameter and volume can provide insight on neurobiological consequences of perinatal cannabis and may lead to the development of therapeutic interventions in affected children.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".