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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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Enhanced Oil Recovery Techniques
Retraction
Abstract
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Study design
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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,922 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.
2,922 works in the cohort · of 4,299,418page 46 of 59

Labels cover 0 of 2,922 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 2,922 of 2,922 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
MAGNET: Medial Axis Guided Network Extraction Tool
Michael McKague, Hamed Fathiannasab, Mohammad Amin Sadeghi, Jeff T. Gostick
2025· article· en· InterPore journal.· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Single Phase Microemulsions Applied to Oil Sands
Pushpesh Sharma, Konstantinos Kostarelos, Xiaolu Xiong
2018· article· en· SPE Western Regional Meeting· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Heavy oil and extra heavy oil (bitumen) recovery
Ian D. Gates, Jingyi Wang, Tara D. Gates, Yi Su, Ranjani Kannaiyan, Ran Luo
2022· book-chapter· en· Elsevier eBooks· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
ANALYSIS OF THE CARBON DIOXIDE ENHANCED OIL RECOVERY TECHNOLOGY
Antonio Chicuna Suami Gomes, K. A. Vorobyev, Vladimir Shcherba, Т.В. Чекушина, Mohamad Ali Alawiyeh
2022· article· en· International Multidisciplinary Scientific GeoConference SGEM ...· Engineering
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About