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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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Aquatic Invertebrate Ecology and Behavior
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.

2,271 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.
2,271 works in the cohort · of 4,299,418page 26 of 46

Labels cover 4 of 2,271 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 2,271 of 2,271 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.

afffundvenueaboutunlabeled
Mussel ecosystem services increased by triploidy
Réjean Tremblay, Kevin Osterheld
2025· article· en· Canadian Journal of Zoology· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Rejected Synonyms in MolluscaBase
Nguyễn Thạch
2021· article· en· The Festivus· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Liquid biopsies for omics-based analysis in sentinel mussels
France Caza, Philippine Granger Joly de Boissel, Richard Villemur, Stéphane Betoulle, Yves St‐Pierre
2019· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)81489-0
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)85342-8
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)84810-7
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
Anisotoma discolor
2008· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hydrobius melaenus
2008· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Leptoiulus durmitorius
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Mesoblaniulus serrula
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About