Legal marijuana industry had banner year in 2018
Bibliographic record
Abstract
The last year was a 12-month champagne toast for the legal marijuana industry as the global market exploded and cannabis pushed its way further into the financial and cultural mainstream. The legal marijuana industry exploded in 2018.California became America's largest legal marketplace, while Canada became the second and largest country to make recreational pot legal nationwide.And Mexico's Supreme Court has set the stage to follow, while governors in New York and New Jersey say they want broad legalization in their states soon.Overall, nearly two-thirds of U.S. states now have legalized some form of medical marijuana.Investors have taken note and poured billions into cannabis ventures.Legal marijuana industry exploded in 2018. California became America's largest legal marketplace. Canada became largest country to make pot legal nationwide. Mexico's Supreme Court has set the stage to follow. New York, New Jersey want broad legalization soon. Nearly two-thirds of U.S. has legalized some form of medical marijuana. Investors have poured billions into cannabis ventures
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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; both teacher heads agree on what is shown here.
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".