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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Cannabis and Cannabinoid Research
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

5,249 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
5,249 works in the cohort · of 4,299,418page 78 of 105

Labels cover 20 of 5,249 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 5,249 of 5,249 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Cannabinoid Use in Pediatric Epilepsy
Robyn Whitney, Prashant Jauhari, Puneet Jain
2025· review· en· Indian Pediatrics· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Filling the cannabis knowledge gap
Shannon Lough
2015· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/j.yped.2014.09.011
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
Cannabinoids and Kindling
Michael E. Corcoran, Deborah M. Saucier, Xia Zhang, Aaron H. Sheerin, Kenneth Joseph Wolfe
2007· book-chapter· en· Advances in behavioral biology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Major challenges in substance use research in Canada in 2019
Bundit Sornpaisarn, Farihah Ali, Tara Elton‐Marshall, Sameer Imtiaz, Charlotte Probst, Sarnti Sornpaisarn +1 more
2020· article· en· The International Journal of Alcohol and Drug Research· Medicine
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
Cannabinoids for postoperative analgesia?
Étienne de Médicis, Jean-Pierre Tétrault
2007· letter· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Prohibition of Marijuana
Michael Broughton
2014· article· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Adolescent Cannabis Use: It’s Safe Right?
Maryam Rahat, Sarah McQuay, Beth Patterson, Masoumeh Rahat, Michael Van Ameringen
2024· article· en· Current Treatment Options in Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A cannabinoid link between mitochondria and memory
Étienne Hébert-Chatelain, Tifany Desprez, Román Serrat, Luigi Bellochio, Pedro Grandes, Giovanni Bénard +1 more
2016· article· en· Biochimica et Biophysica Acta (BBA) - Bioenergetics· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Cannabinoids dosing for osteoarthritis
Sarah Miles, Miki Peer, Karim S. Ladha, Hance Clarke
2024· article· en· The Lancet Regional Health - Europe· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
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