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Record W2801647113 · doi:10.21101/cejph.a4578

Is medical marijuana legalisation possible in Poland?

2018· article· en· W2801647113 on OpenAlexaboutno aff
Dorota Rogowska-Szadkowska, Julia Strumiło, Sławomir Chlabicz

Bibliographic record

VenueCentral European Journal of Public Health · 2018
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMEDLINEEnvironmental healthPolitical scienceLaw

Abstract

fetched live from OpenAlex

OBJECTIVES: In some countries of the world it is legal to use plant-based marijuana for therapeutic purposes. When we had learned that 7,000 petitioners (including doctors) signed the petition to enable access to marijuana for patients in the Czech Republic, we decided to examine the knowledge about marijuana's medical properties among Polish medical students. METHODS: Anonymous questionnaire study was conducted on a group of 181 of students of the last (sixth) year of medical school. RESULTS: It was demonstrated that students are not provided with sufficient information about therapeutic administration of plant-based marijuana during medical studies. The majority of interviewees mentioned only one indication for medical marijuana use. All students did not interchange medical conditions for which marijuana is used in 30 USA states or Canada. DISCUSSION: Marijuana smoking for medical purposes differs from recreational smoking, and its effect does not depend on occurrence of symptoms from the central nervous system. Few studies, that were carried out along with numerous previously unreported cases of patients, demonstrated that plant-derived marijuana had therapeutic effect on many diseases where conventional medicine was of no help. CONCLUSION: All doctors, including medical students, should receive more information about the therapeutic properties of marijuana.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 integrity0.0000.001
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 head0.076
GPT teacher head0.364
Teacher spread0.288 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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