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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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Urban Green Space and Health
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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.

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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.

1,893 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.
1,893 works in the cohort · of 4,299,418page 16 of 38

Labels cover 6 of 1,893 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 1,893 of 1,893 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.

aboutno affunlabeled
Nature Photographs as Complementary Care in Chemotherapy: A Randomized Clinical Trial
Giulia Catissi, Letícia Bernardes de Oliveira, Elivane da Silva Victor, Roberta Maria Savieto, Gustavo Benvenutti Borba, Erika Hingst‐Zaher +3 more
2023· article· en· International Journal of Environmental Research and Public Health· Environmental Science
machine prediction:candidate · noneconsensus · none
8
citations
afffundaboutunlabeled
The contributions of neighbourhood design in promoting metabolic health
Mohammad Javad Koohsari, Akitomo Yasunaga, Koichiro Oka, Tomoki Nakaya, Yukari Nagai, Jennifer E. Vena +1 more
2023· article· en· Humanities and Social Sciences Communications· Environmental Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
The Wild Side of Town
Cecil C. Konijnendijk
2018· book-chapter· en· Future city· Environmental Science
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About