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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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Tea Polyphenols and Effects
Retraction
Abstract
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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.

478 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.
478 works in the cohort · of 4,299,418page 1 of 10

Labels cover 1 of 478 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 478 of 478 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Matrix metalloproteinase inhibition by green tea catechins
Michel Demeule, Mathieu Brossard, Martine Pagé, Denis Gingras, Richard Béliveau
2000· article· en· Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
429
citations
affunlabeled
Tea and Health
Siro Trevisanato, Young In Kim
2009· review· en· Nutrition Reviews· Medicine
distilled prediction:candidate · noneconsensus · none
275
citations
affno abstractunlabeled
Metabolic effects of spices, teas, and caffeine
Margriet S. Westerterp‐Plantenga, K. Diepvens, Annemiek M. Joosen, Sonia Bérubé-Parent, Angelo Tremblay
2006· review· en· Physiology & Behavior· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
216
citations
aboutno affunlabeled
Green tea (Camellia sinensis) for the prevention of cancer
Katja Boehm, Francesca Borrelli, Edzard Ernst, Gabi Habacher, Shao Kang Hung, Stefania Milazzo +1 more
2009· article· en· Cochrane Database of Systematic Reviews· Medicine
distilled prediction:candidate · noneconsensus · none
157
citations
affno abstractunlabeled
Improving the taste of autumn green tea with tannase
Qing-Qing Cao, Chun Zou, Yanhong Zhang, Qizhen Du, Jun‐Feng Yin, John Shi +2 more
2018· article· en· Food Chemistry· Medicine
distilled prediction:candidate · noneconsensus · none
154
citations
affunlabeled
Green Tea Catechins as Novel Antitumor and Antiangiogenic Compounds
Michel Demeule, Jonathan Michaud‐Levesque, Borhane Annabi, Denis Gingras, Dominique Boivin, Julie Jodoin +3 more
2002· review· en· Current Medicinal Chemistry - Anti-Cancer Agents· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
139
citations
affunlabeled
Can EGCG Reduce Abdominal Fat in Obese Subjects?
Alison M. Hill, Alison M. Coates, Jonathan D. Buckley, Robert Ross, Frank Thielecke, Peter R.C. Howe
2007· article· en· Journal of the American College of Nutrition· Medicine
distilled prediction:candidate · noneconsensus · none
138
citations
affno abstractunlabeled
Polyphenolic compounds as functional ingredients in cheese
Jaejoon Han, Michel Britten, Daniel St‐Gelais, Claude P. Champagne, Patrick Fustier, Stéphane Salmieri +1 more
2010· article· en· Food Chemistry· Medicine
distilled prediction:candidate · noneconsensus · none
132
citations

How this was built: Screen · Findings · About