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Record W7083871249

Marlboro maker buys $13B worth of Juul vape cigarettes

2018· other· en· W7083871249 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternet Archive (Internet Archive) · 2018
Typeother
Languageen
FieldEngineering
TopicGeodetic Measurements and Engineering Structures
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)Market shareRecreationValue (mathematics)Market valueProduct (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.001

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.

Opus teacher head0.009
GPT teacher head0.199
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it