Bibliographic record
Abstract
The changes in endocannabinoid system (ECS) neurotransmission are associated with neurotoxicity and neuroprotection in a healthy brain and during brain injury. Multifactorial interconnected events, including age, doses, route of administration, endogenous cannabinoids (eCBs), phytocannabinoids (phyto-CBs) or synthetic analogues, the enzymes involved in synthesis and degradation and cannabinoid (CB) receptor subtypes, play a determinant role in this dual effect. Moreover, the opposing effects are not only limited to in vitro conditions but have also been described in the experimental model of neurodegenerative diseases. Despite multiple mechanistic explanations for the neuroprotective or neurotoxic effect of CBs, the question “Are CBs toxic or beneficial to the brain” still awaits an answer. This chapter aims to demonstrate the multiple factors involved in cannabinoid neurotransmission and its impact on neurological and neuropsychological diseases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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".