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Record W2884404294 · doi:10.1055/s-0038-1644913

Medical Cannabis: Regulatory Updates, Industry Perspective and Misconceptions

2018· article· en· W2884404294 on OpenAlexaff
SK Sidhu

Bibliographic record

VenuePlanta Medica International Open · 2018
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsKelowna General Hospital
Fundersnot available
KeywordsCannabisRecreationGovernment (linguistics)BusinessProduct (mathematics)Medical cannabisPublic healthPublic relationsMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

The federal government established the Cannabis Act to provide legal access to cannabis and to control and regulate production, distribution and sale. The objective of these activities being to prevent youth from having access to cannabis and to protect public health and safety. The way in which both the federal government and provincial/territorial governments are executing the overall objective has been received with mixed opinion from both public and industry members. Although the recreational cannabis framework has been established, it has created some concern for licensed producers that provide cannabis based therapeutic products. Additionally, the framework has created misconceptions in the natural health product industry surrounding what activities these stakeholders will be able to conduct following legalisation of recreational cannabis.

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)0.027
metaresearch head score (Gemma)0.086
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: Review · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.086
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0040.010
Scholarly communication0.0110.012
Open science0.0030.004
Research integrity0.0090.017
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.367
Teacher spread0.343 · 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
GenreReview

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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