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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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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.

14,021 results · 1 filter active ·
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20182025
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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.
14,021 works in the cohort · of 4,299,418page 139 of 281

Labels cover 57 of 14,021 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 14,021 of 14,021 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
Mental health disorders and associated factors among victims of gender-based violence at the Panzi One-Stop Center, in a context of conflict and limited resources in Eastern Democratic Republic of the Congo: A cross-sectional study
Lampard Omari Mukanga, Hamisi Silas, Sylvie Nabintu Mwambali, Phillipe Amani Busane, Raha Maroyi, Berckmans Mukanire Ntakwinja +8 more
2025· preprint· Research Square· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Unveiling the Brazilian Kefir Microbiome: Discovery of a novel Lactobacillus kefiranofaciens (LkefirU) genome and in silico prospection of bioactive peptides with potential anti-Alzheimer properties
Matheus Henrique Silva, Letícia Leandro Batista, Serena Mares Malta, Ana Carolina Costa Santos, Ana Paula Mendes‐Silva, Ana Maria Bonetti +2 more
2024· preprint· en· Research Square· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About