MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Diatoms and Algae Research
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

1,851 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,851 works in the cohort · of 4,299,418page 24 of 38

Labels cover 5 of 1,851 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 1,851 of 1,851 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.

affaboutunlabeled
Dialineura gorodkovi Zaitzev 1971
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Macromol. Biosci. 7/2007
Mihaela Mihai, Michel A. Huneault, Basil D. Favis, Hongbo Li
2007· article· en· Macromolecular Bioscience· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Agalmopolynema rufithorax Fidalgo 1988
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Agalmopolynema nantuense Fidalgo 1988
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Agalmopolynema nantuense Fidalgo 1988
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Thereva brunnea Cole 1923
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sclerocoelus plumiseta
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Perilampus ute Yoo & Darling 2024, sp. nov.
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Obelia multidentata Fraser 1914
2018· article· en· Open MIND· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Tubularia aurea Fraser 1936
Dale R. Calder, Henry Choong
2018· article· Open MIND· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Obelia multidentata Fraser 1914
2018· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Eudendrium irregulare Fraser 1922
2018· article· en· Open MIND· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Tubularia aurea Fraser 1936
Dale R. Calder, Henry Choong
2018· article· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sclerocoelus rectangularis
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Thereva fucatoides Bromley 1937
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Agalmopolynema ayra Fidalgo 1988
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Krokella fera Huber 1993
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Spiriverpa cinerascens
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Pleurotaenium subcoronulatum var. detum
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Agalmopolynema nubeculatum Fidalgo 1988
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Diamphipsocus striatum, comb. nov.
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About