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 14 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.

aboutno affunlabeled
Ptiliola
2007· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)85927-9
2000· article· en· Time to knit· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Megaphyllum montivagum
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2023· dataset· en· Global Biodiversity Information Facility· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Blattisocius tarsalis Berlese
2009· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Megaphyllum bicolor
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Weathers photograph album 12, 1988-1992
2021· dataset· en· University of Southern California Digital Library· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)88635-8
2000· article· en· Time to knit· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Suragina zombaensis Muller 2024, sp. nov.
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Arganthomyza carbo Rohacek & Barber 2013
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cheilosia (Cheilosia) melanopa
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Phronimopsis spinifera Claus 1879
2021· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Pteromalus grisselli Gibson, 2013, n. sp.
2013· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2022· dataset· en· Global Biodiversity Information Facility· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Anacaena lutescens
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Geostiba
2002· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Haplaphalara Uichanco 1912, stat. rev.
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Lasioseius furcisetus Athias
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Dixa vockerothi Moulton, 2017, sp. nov.
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Florence Ahn on Westcoast Tour
2021· dataset· en· University of Southern California Digital Library· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Paracapnia angulata Ross & Ricker 1971
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Wegeneriona undetermined
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ophyiulus renosensis Mauries 1969
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Baeocera secreta Lobl 2021, sp. nov.
2021· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Tritoma pulchra Say 1826
2007· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Québec (città)
2001· other· ca· USI-Biblioteca· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Tethya leysae Heim & Nickel, 2010, sp. nov.
2010· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Stenus persculpturatus Puthz 2012, nov.sp.
2012· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Megaphyllum byzantinum
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Dichopygina perfecta
2018· 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