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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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Smoking Behavior and Cessation
Retraction
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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.

4,988 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.
4,988 works in the cohort · of 4,299,418page 57 of 100

Labels cover 24 of 4,988 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 4,988 of 4,988 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
Prevalence and correlates of substance use by Egyptian school youth
Christopher A. Loffredo, Yousri Edward Shaker, Irene Jillson, Dina N. K. Boulos, Doa’a A. Saleh, Magdy Garas +5 more
2017· article· en· The International Journal of Alcohol and Drug Research· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affaboutunlabeled
Canada gets its house in order
Richard Stanwick
2005· letter· en· Injury Prevention· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
afffundaboutunlabeled
Quasi-experimentally examining the impact of introducing tobacco pictorial health warnings: Findings from the International Tobacco Control (ITC) 4C and Netherlands surveys in the Netherlands, Australia, Canada, United Kingdom, and the United States
Dirk-Jan A. van Mourik, Gera E. Nagelhout, Hein de Vries, Bas van den Putte, K. Michael Cummings, Ron Borland +2 more
2019· article· en· Drug and Alcohol Dependence· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Household Surveys in the General Population and Web-Based Surveys in IQOS Users Registered at the Philip Morris International IQOS User Database: Protocols on the Use of Tobacco- and Nicotine-Containing Products in Germany, Italy, and the United Kingdom (Greater London), 2018-2020
Zheng Sponsiello-Wang, P. Langer, L. Prieto, Mariia Dobrynina, Dimitra Skiada, Nathalie Camille +2 more
2018· article· en· JMIR Research Protocols· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractgemma · metaresearchgpt · no categorymodels split
Reproducibility of Reported In Utero Exposure to Tobacco Smoke
Lea A. Cupul‐Uicab, Xibiao Ye, Rolv Skjærven, Kjell Haug, Matthew P. Longnecker
2010· article· en· Annals of Epidemiology· Medicine
machine prediction:candidate · metaresearchconsensus · none
8
citations

How this was built: Screen · Findings · About