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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.

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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Methane Hydrates and Related Phenomena
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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.

3,528 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,528 works in the cohort · of 4,299,418page 24 of 71

Labels cover 3 of 3,528 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 3,528 of 3,528 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.

afffundaboutunlabeled
Enigmatic Deep-Water Mounds on the Orphan Knoll, Labrador Sea
Shawn Meredyk, Evan Edinger, David J. W. Piper, Veerle A.I. Huvenne, Shannon Hoy, Alan Ruffman
2020· article· en· Frontiers in Marine Science· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Molecular mobility in carbon dioxide hydrates
Zeina M. Jendi, Phillip Servio, Alejandro D. Rey
2017· article· en· Molecular Systems Design & Engineering· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Microbial solutions must be deployed against climate catastrophe
Raquel S. Peixoto, Christian R. Voolstra, Lisa Y. Stein, Philip Hugenholtz, Joana Falcão Salles, Shady A. Amin +12 more
2024· article· en· FEMS Microbiology Ecology· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)87491-6
2000· review· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
11
citations
affunlabeled
A cold, hard look at ancient oxygen
Boswell A. Wing
2013· letter· en· Proceedings of the National Academy of Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Behavior of Depressurization in Type III Hydrate Reservoirs
Amir Hossein Shahbazi, M. Pooladi‐Darvish
2010· article· en· Canadian Unconventional Resources and International Petroleum Conference· Environmental Science
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About