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Record W3081316846 · doi:10.1089/can.2020.0054

<i>Letter to the Editor:</i> Possible Drug–Drug Interactions Between Cannabinoids and Candidate COVID-19 Drugs

2020· article· en· W3081316846 on OpenAlexaboutno aff
M. Hunter Land, Laura MacNair, Brian F. Thomas, Erica N. Peters, Marcel O. Bonn‐Miller

Bibliographic record

VenueCannabis and Cannabinoid Research · 2020
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationCannabisMillerLibrary scienceGeographyMedicinePolitical sciencePsychiatryEcologyLawBiology

Abstract

fetched live from OpenAlex

Cannabis and Cannabinoid ResearchVol. 5, No. 4 Letters to the EditorLetter to the Editor: Possible Drug–Drug Interactions Between Cannabinoids and Candidate COVID-19 DrugsM. Hunter Land, Laura MacNair, Brian F. Thomas, Erica N. Peters, and Marcel O. Bonn-MillerM. Hunter LandCanopy Growth Corporation, Smiths Falls, Ontario, Canada.Search for more papers by this author, Laura MacNairCanopy Growth Corporation, Smiths Falls, Ontario, Canada.Search for more papers by this author, Brian F. ThomasCanopy Growth Corporation, Smiths Falls, Ontario, Canada.Search for more papers by this author, Erica N. PetersCanopy Growth Corporation, Smiths Falls, Ontario, Canada.Search for more papers by this author, and Marcel O. Bonn-Miller*Address correspondence to: Marcel O. Bonn-Miller, PhD, Canopy Growth Corporation, 1 Hershey Drive, Smiths Falls K7A 0A8, Ontario, Canada E-mail Address: [email protected]Canopy Growth Corporation, Smiths Falls, Ontario, Canada.University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.Search for more papers by this authorPublished Online:15 Dec 2020https://doi.org/10.1089/can.2020.0054AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookXLinked InRedditEmail View articleFiguresReferencesRelatedDetailsCited byThe Potential of Cannabidiol for Acute Respiratory Distress Syndrome in COVID-19Current Pharmaceutical Design, Vol. 29, No. 29A Scoping Review on the Medical and Recreational Use of Cannabis During the COVID-19 Pandemic Wendy Wing-Yee Chong, Zeynep Ilgaz Acar, Meghan Lee West, and Francis Wong12 October 2022 | Cannabis and Cannabinoid Research, Vol. 7, No. 5Implications of Cannabis and Cannabinoid Use in COVID-19: Scoping Review1 January 2022 | Revista Brasileira de Enfermagem, Vol. 75, No. suppl 1Cannabis/Cannabinoids for Treating COVID-19 Associated Neuropsychiatric Complications16 October 2021 | Journal of Neuroimmune Pharmacology, Vol. 16, No. 4Commentary: Use of Cannabinoids to Treat Acute Respiratory Distress Syndrome and Cytokine Storm Associated With Coronavirus Disease-201912 April 2021 | Frontiers in Pharmacology, Vol. 12 Volume 5Issue 4Dec 2020 InformationCopyright 2020, Mary Ann Liebert, Inc., publishersTo cite this article:M. Hunter Land, Laura MacNair, Brian F. Thomas, Erica N. Peters, and Marcel O. Bonn-Miller.Letter to the Editor: Possible Drug–Drug Interactions Between Cannabinoids and Candidate COVID-19 Drugs.Cannabis and Cannabinoid Research.Dec 2020.340-343.http://doi.org/10.1089/can.2020.0054Published in Volume: 5 Issue 4: December 15, 2020Online Ahead of Print:August 26, 2020PDF download

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.655
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.003
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 head0.036
GPT teacher head0.358
Teacher spread0.322 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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