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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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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 ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
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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 29 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
Odobenus rosmarus
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cavinula pseudoscutiformis Mann & Stickle
2014· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(93)95814-m
2000· article· en· Time to knit· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Acroperus angustatus Sars 1863
2009· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cylindroiulus latestriatus
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Bradysia ornatula Skuse 1888, comb. n.
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hippomenella mucronelliformis
2013· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Anomoterga Klyver 1932, stat. rev.
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Polyphylla crinita LeConte 1856
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Stenus persculptus Puthz 2012, nov.sp.
2012· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Perlinella drymo
2009· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Euura maculosa
2025· 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)82237-0
2000· article· en· Time to knit· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
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
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
aboutno affunlabeled
Nephrocerus woodi Skevington, 2005, sp. nov.
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ophyiulus macchiae Verhoeff 1930
2017· 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
Banksinoma setosa Rjabinin 1974
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Megaphyllum erythronotum
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Atheta (Chaetida) longicornis
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Novocrania philippinensis
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Bradysia crassicornis Skuse 1890, comb. n.
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Euura lindqvisti ZMUO.
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)86430-1
2000· article· en· Time to knit· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Cheilosia (Cheilosia) vulpina
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Bradysiopsis vittigera Zetterstedt 1851
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Megaphyllum projectum Verhoeff 1894
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Neothetalia canadiana Klimaszewski 2004
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
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