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Record W2997741002 · doi:10.1097/wnp.0000000000000644

A North American History of Cannabis Use in the Treatment of Epilepsy

2019· review· en· W2997741002 on OpenAlex
Alexandra Carter

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Clinical Neurophysiology · 2019
Typereview
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCannabisEpilepsyLegalizationPsychiatryRecreational DrugMedicineEndocannabinoid systemCannabinoidClinical trialEffects of cannabisRecreationPsychologyDrugPolitical scienceCannabidiolInternal medicineLaw

Abstract

fetched live from OpenAlex

Cannabis has been used for millennia in religious ceremonies, for recreation and for its medicinal qualities. There are multiple accounts detailing the specific ailments cannabis has been used to treat, many of which have included epilepsy. Racial discrimination and political stigmatization led to prohibition, which limited both patients' and researchers' access to the drug through the 20th century. Recently, academic interest has been renewed in cannabis, especially regarding the modulation of cortical excitability via the human endocannabinoid system. Modern research has produced several promising studies regarding the treatment of epileptic encephalopathies. Legalization of marijuana in Canada has potentially allowed for further trials, but it is by no means an end to the controversy surrounding the treatment of epilepsy with cannabinoids.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score0.627

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.197
GPT teacher head0.453
Teacher spread0.256 · 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