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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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Hydrological Forecasting Using AI
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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.

692 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.
692 works in the cohort · of 4,299,418page 9 of 14

Labels cover 1 of 692 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 692 of 692 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.

affunlabeled
A Flexible Water Quality Modelling Simulator Based on Matrix Algebra
Ali Ertürk, Melike Gürel, Alpaslan Ekdal, Gökhan CÜCELOĞLU, Mahmut Ekrem KARPUZCU, Ceren EROPAK +7 more
2021· article· en· Turkish Journal of Water Science and Management· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
GRQA: Global River Water Quality Archive
Holger Virro, Giuseppe Amatulli, Alexander Kmoch, Longzhu Q. Shen, Evelyn Uuemaa
2021· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Forecast Rainfall Density by Utilizing Machine Learning Models
Sung‐Chi Hsu, Alok Kumar Sharma
2023· article· en· Proceedings of the World Congress on Civil, Structural, and Environmental Engineering· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About