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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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Atmospheric aerosols and clouds
Retraction
Abstract
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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.

1,467 results · 1 filter active ·
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20002025
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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.
1,467 works in the cohort · of 4,299,418page 22 of 30

Labels cover 1 of 1,467 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 1,467 of 1,467 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.

venueno affno abstractunlabeled
10.1016/0967-0653(93)94645-f
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)81816-3
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Occurrence Download
2023· dataset· en· Global Biodiversity Information Facility· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
10.1016/0967-0653(96)86176-x
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Shaw MRI4.5 Bottom Model
2022· dataset· en· Borealis· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply on RC1
Rui Li
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
JamesPHoughton/pysd: 3.2.0
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Bulletin d'information : Volume 4, no 1, hiver 2007
2009· other· fr· Érudit documents and data repository (Érudit Consortium, University of Montreal)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)86181-3
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Comment on essd-2023-397
Dene Bowdalo, Sara Basart, Marc Guevara, Oriol Jorba, Mónica Jaimes Palomera, Olivia Rivera Hernandez +5 more
2024· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Atmospheric Dusts
2015· book-chapter· en· Encyclopedia of Astrobiology· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Anatomy of cirrus clouds
J. A. Whiteway, C. Cook, M. W. Gallagher, R. Busen, T. W. Choularton, Keith Bower +3 more
2004· article· en· Research Explorer (The University of Manchester)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on acp-2021-338
Haoran Li, Alexei Korolev, Dmitri Moisseev
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Review
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Dust Devils and Convective Vortices Detected by MSL
Henrik Kahanpää, Claire Newman, John E. Moores, María‐Paz Zorzano, Sara Navarro, A. Lepinette +6 more
2017· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on amt-2020-518
Quentin Libois
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Response to reviewers' comments
Kan Huang
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-821
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Reply on CC1
Daniel Zawada
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on amt-2020-518
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on amt-2022-262
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply on RC1
Peter A. Taylor
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on amt-2023-67
Pavla Dagsson‐Waldhauserová
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on amt-2021-333
Travis N. Knepp, L. W. Thomason, Mahesh Kovilakam, Jason L. Tackett, Jayanta Kar, Robert Damadeo +1 more
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-821
Kristofer S. Tuftedal, Bernat Puigdomènech Treserras, Mariko Oue, Pavlos Kollias
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundunlabeled
Reply on RC1
Liviu Ivănescu
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on RC3
Paloma Borque
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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