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Record W2971601069 · doi:10.18192/osurj.v2i1.4173

Medicinal Marijuana: A Promising Potential Treatment for Obstructive Sleep Apnea

2019· article· en· W2971601069 on OpenAlexaffvenue
Gurvir Rai, Anokhee Thakker, Hasti Patel

Bibliographic record

VenueUniversity of Ottawa Science Undergraduate Research Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsObstructive sleep apneaMedicineSleep (system call)Sleep apneaDiseaseApneaSleep disorderContinuous positive airway pressureIntensive care medicineInsomniaAnesthesiaInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Obstructive Sleep Apnea (OSA) is a common sleep disorder in mammals which is characterized by the repeated collapse of the upper airway. It is a known cause of hypertension, cardiovascular disease, and, in some cases, death. OSA is commonly treated by medical devices and surgeries. Although effective, these treatments are associated with unwanted side-effects and further complications. In recent years, the role of medicinal marijuana has grown as a potential treatment for sleep disorders. Further research must be conducted to determine the efficacy and safety of cannabis as a treatment for OSA.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
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 head0.030
GPT teacher head0.326
Teacher spread0.296 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2019
Admission routes2
Has abstractyes

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