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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.

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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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Species Distribution and Climate Change
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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
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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.

7,879 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.
7,879 works in the cohort · of 4,299,418page 144 of 158

Labels cover 27 of 7,879 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 7,879 of 7,879 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.

affvenueunlabeled
The winter triangle
2014· article· en· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
The moon's other face
2014· article· en· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Une bulle spatio-temporelle
2017· article· fr· NPARC· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Panspermia
2014· article· en· NPARC· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Encounter with Mars
2018· article· en· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Les super lunes
2016· article· fr· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Birth of a planet
2018· article· en· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
L'âge des données
2016· article· fr· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Winter Solstice 2017
2017· article· en· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
The expanding universe
2018· article· en· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
The Moon
2019· article· en· NPARC· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Venus
2017· article· fr· NPARC· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Les amas stellaires
2016· article· fr· NPARC· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Toward an agenda for restoration science
Eric Higgs, J. Arthur Harris, Richard J. Hobbs, Stephen D. Murphy, Katharine N. Suding
2024· article· en· Restoration Ecology· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2022· dataset· en· Global Biodiversity Information Facility· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2022· dataset· en· Global Biodiversity Information Facility· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2022· dataset· en· Global Biodiversity Information Facility· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2023· dataset· en· Global Biodiversity Information Facility· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Acalypha leonii Baill.
2023· article· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Acalypha gracilipes Baill.
2023· article· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Acalypha medibracteata Radcl.
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Acalypha linearifolia Leandri
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Acalypha leonii Baill.
2023· article· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Acalypha pervilleana Baill.
2023· article· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2019· dataset· en· Global Biodiversity Information Facility· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
raphaelvallat/pingouin: v0.5.4
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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