Introduction to Recent Advances in Cannabinoid Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On October 17, 2018, Canada became the first G20 nation to legalize the use of Cannabis sativa for both medicinal and recreational purposes. This change in legislation and end of prohibition are indicative of a larger global movement to understand Cannabis—and the bioactive chemicals present within Cannabis known as the cannabinoids—for its potential biomedical uses, harms, and economic values. Currently, interest in Cannabis and cannabinoid research is surging as the many knowledge gaps in basic biology, pharmacology, epidemiology, and clinical efficacy are identified. The purpose of this book is to summarize some leading areas of research in the cannabinoid field where knowledge gaps have been or are being actively addressed. The research described herein spans between basic biological and clinical research. As the editors of this text, we are grateful to the work of the chapter authors and their important contributions to this rapidly growing field.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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 it