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Record W2624824890 · doi:10.15173/m.v1i25.861

Medical Marijuana – Airing Out the Smoke of Doubt

2014· article· en· W2624824890 on OpenAlexaffvenueabout
Aneesh Karir

Bibliographic record

VenueThe Meducator · 2014
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSmokeEnvironmental healthMedicineEngineeringWaste management

Abstract

fetched live from OpenAlex

On April 1, 2014, Canada will implement a drastically new set of regulations that will redefine the laws on the production and acquisition of medical marijuana, affecting over 35,000 patients nationwide. Patients will have to exclusively seek commercial vendors for medical marijuana and pay a much higher price compared to the costs of growing marijuana in their residences. This provides several benefits to the Canadian economy and protects against drug abuse, yet worries citizens and users who are trying to minimize costs. The Canadian government will require patients to obtain a prescription from a general physician, rather than a specialist, to gain access to medical marijuana. This new legislation therefore introduces a new source of pressure for general practitioners and makes them reluctant to support the bill. Still, with a plethora of viable solutions, such as increased safety and quality assurance for citizens who are wary about the new system, the commercialization of medical marijuana could prove to be a reasonable decision for the nation’s future.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.335
Teacher spread0.309 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2014
Admission routes3
Has abstractyes

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