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

216 results · 1 filter active ·
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20052025
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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.
216 works in the cohort · of 4,299,418page 1 of 5

Labels cover 9 of 216 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 216 of 216 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
COVID-19 vaccines: Considering sex differences in efficacy and safety
Adelaide Jensen, Masha Strømme, Shayda Moyassari, Antonella Santuccione Chadha, Maria Carmela Tartaglia, Cassandra Szoeke +1 more
2022· review· en· Contemporary Clinical Trials· Medicine
machine prediction:candidate · noneconsensus · none
92
citations
affno abstractunlabeled
Using decision aids may improve informed consent for research
Dean Fergusson, Jonathan Kimmelman, Kaveh G Shojania, Raphael Saginur, Glyn Elwyn
2010· article· en· Contemporary Clinical Trials· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
39
citations
afffundno abstractunlabeled
Protocol for the MATCH study (Mindfulness and Tai Chi for cancer health): A preference-based multi-site randomized comparative effectiveness trial (CET) of Mindfulness-Based Cancer Recovery (MBCR) vs. Tai Chi/Qigong (TCQ) for cancer survivors
Linda E. Carlson, Erin L. Zelinski, Michael Speca, Lynda G. Balneaves, Jennifer M. Jones, Daniel Santa Mina +14 more
2017· article· en· Contemporary Clinical Trials· Psychology
machine prediction:candidate · noneconsensus · none
35
citations

How this was built: Screen · Findings · About