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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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Biodiversity Information Science and Standards
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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.

69 results · 1 filter active ·
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20172025
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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.
69 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 69 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 69 of 69 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Spatial Visualization of Publicly Accessible Species Occurrence Data
A G Sherin, Jeff McKenna, Paul D. Boudreau, Mary A. Kennedy, Brittany MacGillivray
2017· article· en· Biodiversity Information Science and Standards· Social Sciences
distilled prediction:candidate · sts+scholarly_communicationconsensus · sts+scholarly_communication
0
citations
affunlabeled
Bio-logging Data in Darwin Core: Use Cases
Peggy Newman, Jonathan Pye, Sarah C. Davidson, Peter Desmet
2019· article· en· Biodiversity Information Science and Standards· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Your Digitisation Project is Funded… Now What?
Heather Cole
2019· article· en· Biodiversity Information Science and Standards· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
It Takes a Network: Building Biodiversity Knowledge Through Collaboration
Sandra Emry, Ellen K. Bledsoe, David A. G. A. Hunt, Jason Pither, Jessica Reemeyer, Diane S. Srivastava
2025· article· Biodiversity Information Science and Standards· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communicationconsensus · scholarly_communication
0
citations
affunlabeled
Darwin Cloud: Mapping real-world data to Darwin Core
John Wieczorek, Paul J. Morris, James Hanken, David Lowery, Bertram Ludäscher, James Macklin +3 more
2017· article· en· Biodiversity Information Science and Standards· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Even Simple Habitat Ontologies are Hard to Use
Jocelyn Pender, Joel L. Sachs, Beatriz E. Lujan Toro, James Macklin
2020· article· en· Biodiversity Information Science and Standards· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Sydney Harbour Atlas
A G Sherin, Bruce G. Hatcher, Mary B. Kennedy, Jeff McKenna, Nicholas Doane, Caelin Murray +2 more
2017· article· en· Biodiversity Information Science and Standards· Social Sciences
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
Cookbooks and Curriculum
Mary A. Kennedy, A G Sherin
2017· article· en· Biodiversity Information Science and Standards· Social Sciences
distilled prediction:candidate · sts+scholarly_communicationconsensus · sts
0
citations
affaboutunlabeled
Ecobiomics: Environmental metagenomic biomonitoring
James Macklin, Donald J. Baird, Keith Newton
2019· article· en· Biodiversity Information Science and Standards· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Data Standards for the Phenology of Plant Specimens
Katelin D. Pearson, Libby Ellwood, Edward Gilbert, Robert Guralnick, James Macklin, Gil Nelson +4 more
2021· article· en· Biodiversity Information Science and Standards· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About