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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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Morphological variations and asymmetry
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

770 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.
770 works in the cohort · of 4,299,418page 11 of 16

Labels cover 2 of 770 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 770 of 770 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
Gradient tables
Karan Philippe
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trigonotylus
2012· article· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Saskatoon By
2013· article· en· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Occurrence Download
2021· dataset· en· Global Biodiversity Information Facility· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Animalia
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Liogenys calcarata Frey 1970
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2023· dataset· en· Global Biodiversity Information Facility· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
ΧΑΡΙC ἈΝΤΙ ΧΑΡΙΤωΝ
2010· article· el· Project Muse (Johns Hopkins University)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2020· dataset· en· Global Biodiversity Information Facility· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Animalia
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2020· dataset· en· Global Biodiversity Information Facility· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Jon Edouard
2020· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduction
2025· book-chapter· en· Cambridge University Press eBooks· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About