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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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Marine Ecology and Invasive Species
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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
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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.

899 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
899 works in the cohort · of 4,299,418page 15 of 18

Labels cover 0 of 899 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 899 of 899 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
Smith, Carolyn & Jack
2015· article· en· DigitalResearch@Fordham (Fordham University)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ritratto del Rettore Salvatore Satta
2017· other· it· OpenstarTs (Univeristy of Trieste https://www.units.it/)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
[31.12.22] Sibylla - Edited Version (427)
2022· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
George Joe's Chinese Village Cafe
2016· other· en· VIURRSpace (Vancouver Island University)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
La révision constitutionnelle dans tous ses états
2021· book· fr· Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Exogone (Exogone) heterosetosa McIntosh 1885
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Exogone (Exogone) heterosetosa McIntosh 1885
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nalo Hopkinson interview, 2003
2003· other· en· Scholarship @ Claremont (The Claremont Colleges)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
[Home Movies: My Vacation Trip... (Part 2)]
2023· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Finding God at Work in our Family Roots
2018· article· en· Digital Commons - Andrews University (Andrews University)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Le lock-out des débardeurs du Port de Québec
2024· article· fr· Archipelago (University of Quebec in Montreal)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About