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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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Petroleum Processing and Analysis
Retraction
Abstract
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Label agreement
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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.

2,784 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.
2,784 works in the cohort · of 4,299,418page 40 of 56

Labels cover 3 of 2,784 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 2,784 of 2,784 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.

afffundunlabeled
Post SAGD In-Situ Combustion: Potentials and Challenges
Shariat Bagheri Mohammad Javad, P.. Oskouei, R.G. Moore, Brij Maini, S. A. Mehta
2012· article· en· SPE Heavy Oil Conference Canada· Chemistry
machine prediction:candidate · noneconsensus · none
3
citations
afffundvenueunlabeled
Impact of pressure on coking of vacuum residue
Jing Shen, Roshni Sajiv Kumar, Jason Wiens, Michael Wormsbecker, Natalia Semagina
2024· article· en· The Canadian Journal of Chemical Engineering· Chemistry
machine prediction:candidate · noneconsensus · none
3
citations
venueaboutno affunlabeled
Oil sands pollutants in traditional foods
Jocelyn Edwards
2014· article· en· Canadian Medical Association Journal· Chemistry
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Oil Recycling
Barbara J. Parry
2016· other· en· Kirk-Othmer Encyclopedia of Chemical Technology· Chemistry
machine prediction:candidate · noneconsensus · none
2
citations
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How this was built: Screen · Findings · About