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Record W4244430968 · doi:10.1108/oxan-db238169

Rapid ‘cannabis economy’ growth will attract investors

2018· other· en· W4244430968 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2018
Typeother
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsCannabisBusinessMainstreamDynamismLiberian dollarInvestment (military)Profit (economics)CommerceMarketingFinanceMarket economyEconomics

Abstract

fetched live from OpenAlex

Subject Cannabis market. Significance Mainstream interest in the cannabis industry may have reached a tipping point after Constellation Brands, owner of the Corona and Modelo beer brands, last month made a 4-billion-dollar equity investment into Canadian cannabis firm Canopy Growth. Impacts Many more mainstream consumer brands will venture into cannabis and supporting industries following the Constellation Brands investment. Investor caution about the regulatory risks plant-touching enterprises face may mean indirect ancillary businesses see the fastest growth. The current dynamism and high profit margins of the cannabis sector provide a favourable platform for innovative technologies to emerge. Federal Drug Agency approval of a cannabis-derived drug in June will prompt investment in medical uses of cannabinoids and terpenes.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.184
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.1840.059

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 head0.013
GPT teacher head0.243
Teacher spread0.231 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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