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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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Engineering Applications of Artificial Intelligence
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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
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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.

256 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.
256 works in the cohort · of 4,299,418page 3 of 6

Labels cover 0 of 256 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 256 of 256 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
CMISR: Circular medical image super-resolution
Honggui Li, Nahid Hossain, Maria Trocan, Dimitri Galayko, Mohamad Sawan
2024· article· en· Engineering Applications of Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Industry 4.0: Quo Vadis?
Ajith Abraham, Edward Au, Alécio Pedro Delazari Binotto, Laura García‐Hernández, Vladimı́r Mařı́k, Félix Gómez Mármol +3 more
2019· article· en· Engineering Applications of Artificial Intelligence· Engineering
distilled prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
Flight deck crew reserve: From data to forecasting
Amir-Hosein Homaie-Shandizi, Vahid Partovi Nia, Michel Gamache, Bruno Agard
2016· article· en· Engineering Applications of Artificial Intelligence· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
9
citations
afffundno abstractunlabeled
Online prediction of pulp brightness using fuzzy logic models
Sofiane Achiche, Luc Baron, Marek Balazinski, Mokhtar Benaoudia
2006· article· en· Engineering Applications of Artificial Intelligence· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
DSRS: DELIGHT sequential recommender system
Syed Tauhid Ullah Shah, Fazlullah Khan, Shirin Yamani, Ryan Alturki, Foziah Gazzawe, Imran Razzak
2025· article· en· Engineering Applications of Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About