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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.

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
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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 62 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.

venueno affunlabeled
Clearing The Smoke On Cannabis
The Meducator, Edward Cui, Daniel Rayner
2019· article· en· The Meducator· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
fundno affunlabeled
Cannabis Use and the Developing Brain: Highs and Lows
Yasmin L. Hurd, Jacqueline‐Marie N. Ferland, Yoko Nomura, Leslie A. Hulvershorn, Kevin M. Gray, Christian Thurstone
2023· article· en· Frontiers for Young Minds· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
afffundvenueaboutunlabeled
Child Maltreatment History, Deployment-Related Traumatic Events, and Past 12-Month Cannabis Use Among Veterans in Canada: Antécédents de maltraitance d'enfants, événements traumatisants liés au déploiement, et utilisation du cannabis dans les 12 derniers mois chez les anciens combattants du Canada
Tracie O. Afifi, Tamara Taillieu, Samantha Salmon, Ashley Stewart-Tufescu, Jitender Sareen, Murray W. Enns +5 more
2023· article· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
afffundaboutunlabeled
Self-Medication Paths
Claudie Audet, Christian Bertrand, Marc-Antoine Martel, Anne Marie Pinard, Mélanie Berube, Anaïs Lacasse
2024· article· en· Clinical Journal of Pain· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
venueaboutno affunlabeled
Cannabis prohibition harms Canada’s youth
Matthew M. Elrod
2017· letter· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Medicinal Marijuana
Mark S. Wallace, Mark A. Ware
2015· editorial· en· Clinical Journal of Pain· Medicine
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About