Marlboro maker buys $13B worth of Juul vape cigarettes
Bibliographic record
Abstract
Altria, one of the worldâs biggest tobacco companies, is spending nearly $13 billion to buy a huge stake in the vape company Juul as cigarette use continues to decline. Altria, one of the worldâs biggest tobacco companies, is spending nearly $13 billion to buy a huge stake in the vape company Juul.The Marlboro maker will take a 35 percent share of Juul, putting the value of the company at $38 billion, larger than Ford Motor Co., Delta Air Lines or the retail giant Target.E-cigarettes have been sold in the U.S. since 2007 and have grown into a $6.6 billion business.The investment comes about two weeks after Altria stepped into the cannabis market with an investment of around $2 billion in Cronos Group, the Canadian medical and recreational marijuana provider.Altria is spending nearly $13 billion to buy a huge stake in the vape company Juul. The Marlboro maker will take a 35 percent share of Juul. E-cigarettes are a $6.6 billion business. Altria recently also invested in a Canadian medical and recreational marijuana provider
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.427 | 0.191 |
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; the direct Gemma label and the distilled Codex classifier 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".