Evolution and Cannabinoids: The Survival of Mankind
Bibliographic record
Abstract
NORML National Marijuana Forum: Dr. Robert Melamede, CU Boulder 2009 Filmed by Christopher Pezza of April 19, 2009. http://www.youtube.com/user/CPezza85 World-renowned Medical Cannabis Research expert Dr. Robert Melamede has a Ph.D. in Molecular Biology and Biochemistry from the City University of New York. Dr. Melamede is a retired Chairman of the Biology Department at University of Colorado, Colorado Springs in 2005, where he continues to teach and research cannabinoids, cancer, and DNA repair. Dr. Melamede is recognized as a leading authority on the therapeutic uses of cannabis, and has authored or co-authored dozens of papers on a wide variety of scientific subjects. Dr. Melamede's current focus is on integrating far from equilibrium thermodynamic physics with the biology of life and health and the unique evolutionary role played by the endocannabinoid system in these processes. Dr. Melamede also serves on the Editorial Board of The Journal of the International Association for Cannabis as Medicine, the Scientific Advisory Board of Americans for Safe Access, Sensible Colorado, Scientific Advisor for Cannabis Therapeutics as well as a variety other of state dispensaries and marijuana patient advocacy groups. Dr. Melamede frequently serves as an expert witness in cannabis-related trials. Dr. Melamede's testimony was critical in the recent trial of growers for the Vancouver Island Compassion Society that resulted Canadian Court's ruling that their current medical marijuana laws were unconstitutional.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".